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Overview
Differential dynamic logic (dL) [5,7,26,45] is a logic for specifying and verifying hybrid systems combining discrete and continuous dynamical systems.
Such hybrid systems combine discrete dynamics, e.g., for representing the instantaneous change of computer decisions with continuous dynamics represented as differential equations, e.g., for the continuous motion of a car or aircraft.
The purpose of dL is that this logic can be used to describe/specify and prove/verify correctness properties for hybrid systems given operationally as
The basic idea for dL formulas is that a dL formula of the form [α]φ expresses that the hybrid system α is always within region φ, i.e., all states reachable by following the transitions of hybrid system α satisfy the formula φ. Dually, the dL formula <α>φ expresses that the hybrid system α is able to reach region φ, i.e., there is a state reachable by following the transitions of hybrid system α that satisfies the formula φ. In either case, the hybrid system α is a hybrid program describing what the dynamical system does over time. Using other propositional connectives, one can state the following dL formula
dL formulas of the form φ > [α]ψ are like a Hoare triple but for hybrid systems. dL is more flexible than Hoare calculus, because formulas of other shapes are also supported by dL. For example, the following dL formula expresses that in every initial state satisfying precondition φ there is a way of running hybrid system α to finally reach a state satisfying the postcondition ψ:
Differential dynamic logic formulas can also nest these operators arbitrarily, also with other propositional operators or quantifiers. For example, the following dL formula expresses that if all runs of hybrid system α satisfy formula φ, then all runs of hybrid system α also satisfy formula ψ:
In much the same way as finite automata can be represented as whileprograms, or timed automata have a notation as realtime programs, hybrid automata can be represented as hybrid programs. Essentially, hybrid programs are what you get when you add continuous evolutions as a primitive operation to conventional discrete programs or, in fact, your favorite programming language. dL and hybrid programs thereby benefit from compositionality principles of logic and programming languages.
Note: LaTeX typesets dL as follows:
\text{\upshape\textsf{d{\kern0.05em}L}}
Syntax
The syntax of the differential dynamic logic dL shown here uses slightly simplified notation in comparison to the ASCII notation in KeYmaera X. 
Operators
and Cheat Sheet 
Formulas of dL, with typical names φ and ψ, are defined by the following syntax  
φ ::=  \forall x φ  Universal quantifier: for all real values of x, formula φ holds 
\exists x φ  Existential quantifier: for some real value of x, formula φ holds  
[α] φ  After all runs of hybrid program α, formula φ holds (safety)  
<α> φ  There is at least one run of hybrid program α, after which formula φ holds (liveness)  
!φ  Negation (not)  
φ & ψ  Conjunction (and)  
φ  ψ  Disjunction (or)  
φ > ψ  Implication (implication)  
φ <> ψ  Biimplication (equivalence)  
t>=s  Comparison of real arithmetic terms (likewise =,>,<,<=,!=) 
The behavior of the hybrid system α is specified as a hybrid program, which is a program notation for hybrid systems.
Hybrid programs, with typical names α and β, are defined by the following syntax  
α ::=  α; β  Sequential composition following β after α has finished 
α ++ β  Nondeterministic choice following either α or β  
α^{*}  Nondeterministic repetition, repeating α arbitrarily often including 0 times  
x:=t  Discrete assignment/jump assigning the value of t to x  
{x'=t,y'=s & Q}  Continuous evolution along differential equation system x'=t,y'=s with terms t,s, optionally with evolution domain constraint Q.  
?Q  Test whether formula Q is true in current state (otherwise abort)  
where Q is a formula usually in firstroder real arithmetic. 
Verification
Verifying correct functioning of hybrid systems amounts to proving corresponding formulas in differential dynamic logic dL using the dL proof calculus [5,7,26,45]. These dL formulas state the desired correctness properties of the hybrid systems under consideration, including safety, liveness, reactivity, and controllability properties. For showing that these systems operate as expected, there is a logical proof calculus as a sequent calculus [5,7] and as a Hilbert calculus [26,45] that are implemented in the theorem provers KeYmaera and its successor KeYmaera X. 
Operators 
Case studies for using differential dynamic logic to verify complex physical systems include studies for the European Train Control System (ETCS) [16] and verification of collision avoidance in aircraft collision avoidance maneuvers [15] as well as the nextgeneration Airborne Collision Avoidance System ACAS X [47], mobile robot navigation [49], and surgical robots [30].
Differential Invariants, Variants, Ghosts and Cuts
The differential equation verification technology for differential dynamic logics is based on differential invariants [8,11] that define an induction principle for differential equations [26,25,45,50,54] based on analyzing the local rate of change of truth in differential form, instead of analyzing its often significantly more complicated solution. Differential variants are a dual proof principle that can be used to prove liveness and progress properties of differential equations without having to solve them [11,18,55]. Differential cuts successively prove additional invariants for differential equations that are available during the dynamics, which are useful to accumulate knowledge about the behavior of a differential equation [8,11,26]. Differential ghosts add differential equations for new ghost variables to the existing system of differential equations enabling reasoning about the historical evolution of ODE systems in integral form [27,25]. They have been implemented in KeYmaera and KeYmaera X as well.
All true algebraic invariants of differential equations are provable in differential dynamic logic [50] from these reasoning principles, and completeness even for analytic invariants with Noetherian functions [54]. In fact, all true real arithmetic invariants of differential equations are provable and all false ones disprovable in differential dynamic logic, leading to a purely logical decision procedure [50], and completeness even for semianalytic invariants [54].
Details and Extensions
This page only shows the simplest version of a simple differential dynamic logic. Differential dynamic logic is described in more detail in the literature [7,26,25,18,45,48,54]. For more details see this overview of logics for dynamical systems. Extensions of differential dynamic logic include the following: The KeYmaera X theorem prover for hybrid systems implements the dL calculus [45].
 There is an extension called quantified differential dynamic logic (QdL) [19], with which distributed hybrid systems can be verified. This is the first formal verification approach for (dynamic/reconfigurable) distributed hybrid systems, in which participants may appear and disappear during the system evolution. QdL is implemented in KeYmaera.
 The extension differential game logic (dGL) provides specification and verification for hybrid games [43,46].
 There is an extension called stochastic differential dynamic logic (SdL) [22], with which stochastic hybrid systems can be verified.
 Publications related to dL
 There is an extension called differentialalgebraic dynamic logic (DAL) for more general differentialalgebraic programs [8]
 ODE verification technology for differential dynamic logic is based on differential invariants [8,10,13,50,54], which are formulas that remain true along the dynamics of the hybrid system and its differential equations.
 There is a temporal extension called differential temporal dynamic logic (dTL) [4]. Also see further details and extensions in a book [18].
Abstract
Hybrid systems are models for complex physical systems and are defined as dynamical systems with interacting discrete transitions and continuous evolutions along differential equations. With the goal of developing a theoretical and practical foundation for deductive verification of hybrid systems, we introduce a dynamic logic for hybrid programs, which is a program notation for hybrid systems. As a verification technique that is suitable for automation, we introduce a free variable proof calculus with a novel combination of realvalued free variables and Skolemisation for lifting quantifier elimination for real arithmetic to dynamic logic. The calculus is compositional, i.e., it reduces properties of hybrid programs to properties of their parts. Our main result proves that this calculus axiomatises the transition behaviour of hybrid systems completely relative to differential equations. In a case study with cooperating traffic agents of the European Train Control System, we further show that our calculus is wellsuited for verifying realistic hybrid systems with parametric system dynamics.
Keywords: dynamic logic, differential equations, sequent calculus, axiomatisation, automated theorem proving, verification of hybrid systems
[7]Selected Publications
The canonical references on this approach are [7,8,26,25,18,45,48,50]. A good technical survey appeared a while ago at LICS'12 [26]. Comprehensive information on dL is available in a book [18] and a textbook [48]. Also see publications on hybrid systems logic and the publication reading guide.
Yong Kiam Tan, Stefan Mitsch and André Platzer.
Verifying switched system stability with logic.
In Ezio Bartocci and Sylvie Putot, editors, Hybrid Systems: Computation and Control (part of CPS Week 2022), HSCC'22. Article No. 2, pp. 111. ACM, 2022.
This paper was awarded the HSCC Best Paper Award and HSCC Best Repeatability Evaluation Award. © The authors
[bib  ✂  pdf  doi  slides  video  kyx  arXiv  artifact  abstract]

Yong Kiam Tan and André Platzer.
Deductive stability proofs for ordinary differential equations.
In Jan Friso Groote and Kim G. Larsen, editors, Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, Proceedings, Part II, volume 12652 of LNCS, pp. 181–199. Springer, 2021. © The authors
[bib  ✂  pdf  doi  mypdf  slides  video  kyx  arXiv  abstract]

Yong Kiam Tan and André Platzer.
An axiomatic approach to existence and liveness for differential equations.
Formal Aspects of Computing 33(4), pp. 461518, 2021.
Special issue for selected papers from FM'19. © The authors
[bib  ✂  pdf  doi  arXiv  FM'19  abstract]

André Platzer and Yong Kiam Tan.
Differential equation invariance axiomatization.
J. ACM 67(1), 6:16:66, 2020. © The authors
[bib  ✂  pdf  doi  mypdf  slides  video  arXiv  abstract]

Brandon Bohrer, Manuel Fernández and André Platzer.
dL_{ɩ} Definite descriptions in differential dynamic logic.
In Pascal Fontaine, editor, International Conference on Automated Deduction, CADE27, Natal, Brazil, Proceedings, volume 11716 of LNCS, pp. 94110. Springer, 2019. © Springer
[bib  ✂  pdf  doi  slides  TR  abstract]

André Platzer.
Uniform substitution at one fell swoop.
In Pascal Fontaine, editor, International Conference on Automated Deduction, CADE27, Natal, Brazil, Proceedings, volume 11716 of LNCS, pp. 425441. Springer, 2019. © The author
[bib  ✂  pdf  doi  mypdf  slides  Isabelle  arXiv  abstract]

Brandon Bohrer and André Platzer.
A hybrid, dynamic logic for hybriddynamic information flow.
In Anuj Dawar and Erich Grädel, editors, Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science, LICS'18, pp. 115124. ACM 2018. © The authors. Publication rights licensed to ACM
[bib  ✂  pdf  doi  slides  TR  abstract]

André Platzer and Yong Kiam Tan.
Differential equation axiomatization:
The impressive power of differential ghosts.
In Anuj Dawar and Erich Grädel, editors, Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science, LICS'18, pp. 819828. ACM 2018. © The authors
[bib  ✂  pdf  doi  mypdf  slides  video  arXiv  JACM'20  abstract]

Stefan Mitsch, Khalil Ghorbal, David Vogelbacher, and André Platzer.
Formal verification of obstacle avoidance and navigation of ground robots.
International Journal of Robotics Research 36(12), pp. 13121340, 2017. © The authors
[bib  ✂  pdf  doi  kyx  arXiv  abstract]

André Platzer.
Logical Foundations of CyberPhysical Systems.
Springer, Cham, 2018. 659 pages. ISBN 9783319635873.
[bib  ✂  doi  slides  video  book  web  errata  abstract]

JeanBaptiste Jeannin, Khalil Ghorbal, Yanni Kouskoulas, Aurora Schmidt, Ryan Gardner, Stefan Mitsch, and André Platzer.
A formally verified hybrid system for safe advisories in the nextgeneration airborne collision avoidance system.
STTT 19(6), pp. 717741, 2017.
Special issue for selected papers from TACAS'15. © Springer
[bib  ✂  pdf  doi  kyx  study  TACAS'15  abstract]

André Platzer.
Differential hybrid games.
ACM Trans. Comput. Log. 18(3), pp. 19:119:44, 2017. © The author
[bib  ✂  pdf  doi  mypdf  arXiv  abstract]

André Platzer.
A complete uniform substitution calculus for differential dynamic logic.
Journal of Automated Reasoning 59(2), pp. 219265, 2017. © The author
[bib  ✂  pdf  doi  mypdf  arXiv  abstract]

Stefan Mitsch and André Platzer.
ModelPlex: Verified runtime validation of verified cyberphysical system models.
Formal Methods in System Design 49(1), pp. 3374. 2016.
Special issue for selected papers from RV'14. © The authors
[bib  ✂  pdf  doi  mypdf  RV'14  abstract]

André Platzer.
Differential game logic.
ACM Trans. Comput. Log. 17(1), pp. 1:11:52, 2015. © The author
[bib  ✂  pdf  doi  mypdf  arXiv  errata  abstract]

Nathan Fulton, Stefan Mitsch, JanDavid Quesel, Marcus Völp and André Platzer.
KeYmaera X: An aXiomatic tactical theorem prover for hybrid systems.
In Amy P. Felty and Aart Middeldorp, editors, International Conference on Automated Deduction, CADE25, Berlin, Germany, Proceedings, volume 9195 of LNCS, pp. 527538. Springer, 2015. © Springer
[bib  ✂  pdf  doi  slides  poster  tool  abstract]

André Platzer.
A uniform substitution calculus for differential dynamic logic.
In Amy P. Felty and Aart Middeldorp, editors, International Conference on Automated Deduction, CADE25, Berlin, Germany, Proceedings, volume 9195 of LNCS, pp. 467481. Springer, 2015. © Springer
[bib  ✂  pdf  doi  slides  arXiv  JAR'17  abstract]

JeanBaptiste Jeannin, Khalil Ghorbal, Yanni Kouskoulas, Ryan Gardner, Aurora Schmidt, Erik Zawadzki, and André Platzer.
A formally verified hybrid system for the nextgeneration airborne collision avoidance system.
In Christel Baier and Cesare Tinelli, editors, Tools and Algorithms for the Construction and Analysis of Systems  21st International Conference, TACAS 2015, London, UK, April 1118, 2015, Proceedings, volume 9035 of LNCS, pp. 2136. Springer, 2015. © Springer
[bib  ✂  pdf  doi  study  TR  STTT'17  abstract]

JanDavid Quesel, Stefan Mitsch, Sarah Loos, Nikos Aréchiga, and André Platzer.
How to model and prove hybrid systems with KeYmaera: A tutorial on safety.
STTT 18(1), pp. 6791, 2016. © The authors
[bib  ✂  pdf  doi  mypdf  abstract]

André Platzer.
Analog and hybrid computation: Dynamical systems and programming languages.
Bulletin of the EATCS 114, 2014. © The author
Invited paper in The Logic in Computer Science Column by Yuri Gurevich.
[bib  ✂  pdf  eprint  abstract]

Stefan Mitsch and André Platzer.
ModelPlex: Verified runtime validation of verified cyberphysical system models.
In Borzoo Bonakdarpour and Scott A. Smolka, editors, Runtime Verification  5th International Conference, RV 2014, Toronto, ON, Canada, September 2225, 2014. Proceedings, volume 8734 of LNCS, pp. 199214. Springer, 2014. © Springer
Best paper finalist
[bib  ✂  pdf  doi  slides  study  TR  FMSD'16  abstract]

JeanBaptiste Jeannin and André Platzer.
dTL^{2}: Differential temporal dynamic logic with nested temporalities for hybrid systems.
In Stéphane Demri, Deepak Kapur and Christoph Weidenbach, editors, Automated Reasoning, 7th International Joint Conference, IJCAR 2014, Vienna, Austria, July 1922, 2014, Proceedings, volume 8562 of LNCS, pp. 292306. Springer, 2014. © Springer
[bib  ✂  pdf  doi  slides  abstract]

Stefan Mitsch, JanDavid Quesel and André Platzer.
Refactoring, refinement, and reasoning:
A logical characterization for hybrid systems.
In Cliff B. Jones, Pekka Pihlajasaari and Jun Sun, editors, 19th International Symposium on Formal Methods, FM, Singapore, Proceedings, volume 8442 of LNCS, pp. 481496. Springer, 2014. © Springer
[bib  ✂  pdf  doi  slides  abstract]

Khalil Ghorbal and André Platzer.
Characterizing algebraic invariants by differential radical invariants.
In Erika Ábrahám and Klaus Havelund, editors, Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2014, Proceedings, volume 8413 of LNCS, pp. 279294. Springer, 2014. © Springer
[bib  ✂  pdf  doi  slides  study  TR  abstract]

André Platzer.
Foundations of CyberPhysical Systems.
Lecture Notes, Computer Science Department, Carnegie Mellon University. 2013.
[bib  ✂  pdf  textbook  course]

Sarah M. Loos, David Witmer, Peter Steenkiste and André Platzer.
Efficiency analysis of formally verified adaptive cruise controllers.
In Andreas Hegyi and Bart De Schutter, editors, 16th International IEEE Conference on Intelligent Transportation Systems, ITSC'13, The Hague, Netherlands, Proceedings, 2013. © IEEE
[bib  ✂  pdf  doi  slides  study  abstract]

Stefan Mitsch, Khalil Ghorbal and André Platzer.
On provably safe obstacle avoidance for autonomous robotic ground vehicles.
In Paul Newman, Dieter Fox, and David Hsu, editors, Robotics: Science and Systems, RSS, 2013. © The author
[bib  ✂  pdf  eprint  slides  video  study  IJRR'17  abstract]

Yanni Kouskoulas, David W. Renshaw, André Platzer and Peter Kazanzides.
Certifying the safe design of a virtual fixture control algorithm for a surgical robot.
In Calin Belta and Franjo Ivancic, editors, Hybrid Systems: Computation and Control (part of CPS Week 2013), HSCC'13, Philadelphia, PA, USA, April 813, 2013, pp. 263272. ACM, 2013. © ACM
[bib  ✂  pdf  doi  slides  study  abstract]

André Platzer.
Dynamic logics of dynamical systems.
arXiv:1205.4788, May 2012. Long version of LICS'12 invited tutorial.
[bib  ✂  pdf  arXiv  LICS'12  abstract]

André Platzer.
A differential operator approach to equational differential invariants.
In Lennart Beringer and Amy Felty, editors, Interactive Theorem Proving, International Conference, ITP 2012, August 1315, Princeton, USA, Proceedings, volume 7406 of LNCS, pp. 2848. Springer, 2012. © Springer
Invited paper.
[bib  ✂  pdf  doi  slides  abstract]

André Platzer.
The structure of differential invariants and differential cut elimination.
Logical Methods in Computer Science 8(4), pp. 138, 2012. © The author
[bib  ✂  pdf  doi  mypdf  arXiv  abstract]

André Platzer.
Logics of dynamical systems.
ACM/IEEE Symposium on Logic in Computer Science, LICS 2012, June 25–28, 2012, Dubrovnik, Croatia, pp. 1324. IEEE 2012. © IEEE
Invited paper.
[bib  ✂  pdf  doi  slides  abstract]

André Platzer.
The complete proof theory of hybrid systems.
ACM/IEEE Symposium on Logic in Computer Science, LICS 2012, June 25–28, 2012, Dubrovnik, Croatia, pp. 541550. IEEE 2012. © IEEE
[bib  ✂  pdf  doi  slides  TR  abstract]

André Platzer.
The Complete Proof Theory of Hybrid Systems.
School of Computer Science, Carnegie Mellon University, CMUCS11144, November 2011.
[bib  ✂  pdf  LICS'12]

André Platzer.
The Structure of Differential Invariants and Differential Cut Elimination.
School of Computer Science, Carnegie Mellon University, CMUCS11112, April 2011.
[bib  ✂  pdf  arXiv  LMCS'12]

André Platzer.
Stochastic differential dynamic logic for stochastic hybrid programs.
In Nikolaj Bjørner and Viorica SofronieStokkermans, editors, International Conference on Automated Deduction, CADE23, Wroclaw, Poland, Proceedings, volume 6803 of LNCS, pp. 446460. Springer, 2011. © Springer
[bib  ✂  pdf  doi  slides  TR  abstract]

André Platzer.
Logic and compositional verification of hybrid systems.
In Ganesh Gopalakrishnan and Shaz Qadeer, editors, Computer Aided Verification, CAV 2011, Snowbird, UT, USA, Proceedings, volume 6806 of LNCS, pp. 2843. Springer, 2011. © Springer
Invited tutorial.
[bib  ✂  pdf  doi  slides  abstract]

André Platzer.
Quantified differential invariants.
In Emilio Frazzoli and Radu Grosu, editors, Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011, Chicago, USA, April 1214, pp. 6372. ACM, 2011. © ACM
[bib  ✂  pdf  doi  slides  abstract]

André Platzer.
Quantified differential dynamic logic for distributed hybrid systems.
In Anuj Dawar and Helmut Veith, editors, Computer Science Logic, 19th EACSL Annual Conference, CSL 2010, Brno, Czech Republic, August 2327, 2010. Proceedings, volume 6247 of LNCS, pp. 469483. Springer, 2010. © Springer
[bib  ✂  pdf  doi  slides  TR  LMCS'12  abstract]

André Platzer.
Logical Analysis of Hybrid Systems:
Proving Theorems for Complex Dynamics.
Springer, Heidelberg, 2010. 426 pages. ISBN 9783642145087.
[bib  ✂  doi  book  web  errata  abstract]

André Platzer.
Differential dynamic logic:
Automated theorem proving for hybrid systems.
Künstliche Intelligenz 24(1), pp. 7577, 2010. © Springer
Invited paper.
[bib  ✂  doi  abstract]

André Platzer and JanDavid Quesel.
European Train Control System: A case study in formal verification.
In Karin Breitman and Ana Cavalcanti, editors, 11th International Conference on Formal Engineering Methods, ICFEM, Rio de Janeiro, Brasil, Proceedings, volume 5885 of LNCS, pp. 246265. Springer, 2009. © Springer
[bib  ✂  pdf  doi  slides  kyx  TR  old  abstract]

André Platzer and Edmund M. Clarke.
Formal verification of curved flight collision avoidance maneuvers: A case study.
In Ana Cavalcanti and Dennis Dams, editors, 16th International Symposium on Formal Methods, FM, Eindhoven, Netherlands, Proceedings, volume 5850 of LNCS, pp. 547562. Springer, 2009. © Springer
This paper was awarded the FM Best Paper Award.
[bib  ✂  pdf  doi  slides  study  TR  abstract]

André Platzer.
Verification of cyberphysical transportation systems.
IEEE Intelligent Systems 24(4), pp. 1013, Jul/Aug, 2009. © IEEE
Invited paper.
[bib  ✂  doi  abstract]

André Platzer and Edmund M. Clarke.
Computing differential invariants of hybrid systems as fixedpoints.
Formal Methods in System Design 35(1), pp. 98120, 2009.
Special issue for selected papers from CAV'08. © Springer
[bib  ✂  pdf  doi  study  CAV'08  abstract]

André Platzer and JanDavid Quesel.
KeYmaera: A hybrid theorem prover for hybrid systems.
In Alessandro Armando, Peter Baumgartner and Gilles Dowek, editors, Automated Reasoning, Fourth International Joint Conference, IJCAR 2008, Sydney, Australia, Proceedings, volume 5195 of LNCS, pp. 171178. Springer, 2008. © Springer
[bib  ✂  pdf  doi  slides  tool  abstract]

André Platzer.
Differential Dynamic Logics:
Automated Theorem Proving for Hybrid Systems.
PhD Thesis, Department of Computing Science, University of Oldenburg, 2008.
ACM Doctoral Dissertation Honorable Mention Award in 2009.
Extended version appeared as book Logical Analysis of Hybrid Systems: Proving Theorems for Complex Dynamics, Springer, 2010.
[bib  ✂  pdf  eprint  slides  book  ebook  abstract]

André Platzer and Edmund M. Clarke.
Computing differential invariants of hybrid systems as fixedpoints.
In Aarti Gupta and Sharad Malik, editors, Computer Aided Verification, CAV 2008, Princeton, USA, Proceedings, volume 5123 of LNCS, pp. 176189, Springer, 2008. © Springer
[bib  ✂  pdf  doi  slides  study  TR  FMSD'09  abstract]

André Platzer and Edmund M. Clarke.
Computing Differential Invariants of Hybrid Systems as Fixedpoints.
School of Computer Science, Carnegie Mellon University, CMUCS08103, Feb, 2008.
[bib  ✂  pdf  CAV'08]

André Platzer.
Differentialalgebraic dynamic logic for differentialalgebraic programs.
Journal of Logic and Computation 20(1), pp. 309352, 2010.
Special issue for selected papers from TABLEAUX'07. © The author
[bib  ✂  pdf  doi  eprint  study  errata  TABLEAUX'07  abstract]

André Platzer.
Differential dynamic logic for hybrid systems.
Journal of Automated Reasoning 41(2), pp. 143189, 2008. © The author
[bib  ✂  pdf  doi  mypdf  study  abstract]

André Platzer.
Combining deduction and algebraic constraints for hybrid system analysis.
In Bernhard Beckert, editor, 4th International Verification Workshop, VERIFY'07, Workshop at Conference on Automated Deduction (CADE), Bremen, Germany, CEUR Workshop Proceedings, 259:164178, 2007.
[bib  ✂  pdf  eprint  slides  abstract]

André Platzer.
Differential dynamic logic for verifying parametric hybrid systems.
In Nicola Olivetti, editor, Automated Reasoning with Analytic Tableaux and Related Methods, International Conference, TABLEAUX 2007, Aix en Provence, France, July 36, 2007, Proceedings, volume 4548 of LNCS, pp. 216232. Springer, 2007. © Springer
This paper was awarded the TABLEAUX Best Paper Award.
[bib  ✂  pdf  doi  slides  study  TR  abstract]

André Platzer.
A temporal dynamic logic for verifying hybrid system invariants.
In Sergei Artemov and Anil Nerode, editors, Logical Foundations of Computer Science, International Symposium, LFCS 2007, New York, USA, Proceedings, volume 4514 of LNCS, pp. 457471. Springer, 2007. © Springer
[bib  ✂  pdf  doi  slides  study  TR  abstract]

André Platzer.
Differential logic for reasoning about hybrid systems.
In Alberto Bemporad, Antonio Bicchi and Giorgio Buttazzo, editors, Hybrid Systems: Computation and Control, 10th International Conference, HSCC 2007, Pisa, Italy, Proceedings, volume 4416 of LNCS, pp. 746749. Springer, 2007. © Springer
[bib  ✂  pdf  doi  poster  abstract]

André Platzer.
Differential logic for reasoning about hybrid systems.
In Alberto Bemporad, Antonio Bicchi and Giorgio Buttazzo, editors, Hybrid Systems: Computation and Control, 10th International Conference, HSCC 2007, Pisa, Italy, Proceedings, volume 4416 of LNCS, pp. 746749. Springer, 2007. © Springer
[bib  ✂  pdf  doi  poster  abstract]

André Platzer.
Towards a hybrid dynamic logic for hybrid dynamic systems.
In Patrick Blackburn, Thomas Bolander, Torben Braüner, Valeria de Paiva and Jørgen Villadsen, editors, Proc., International Workshop on Hybrid Logic, HyLo 2006, Seattle, USA, Electr. Notes Theor. Comput. Sci. 174(6):6377, 2007.
[bib  ✂  pdf  doi  slides  abstract]
For full details, please see List of Publications.
There also is a verification tool implementation of dL in a theorem prover, which is called KeYmaera [12].
Any opinions, findings, and conclusions or recommendations expressed are those of the author(s) and do not necessarily reflect the views of any sponsoring institution.