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The algorithmic analysis of hybrid systems
 THEORETICAL COMPUTER SCIENCE
, 1995
"... We present a general framework for the formal specification and algorithmic analysis of hybrid systems. A hybrid system consists of a discrete program with an analog environment. We model hybrid systems as nite automata equipped with variables that evolve continuously with time according to dynamica ..."
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Cited by 787 (77 self)
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We present a general framework for the formal specification and algorithmic analysis of hybrid systems. A hybrid system consists of a discrete program with an analog environment. We model hybrid systems as nite automata equipped with variables that evolve continuously with time according to dynamical laws. For verification purposes, we restrict ourselves to linear hybrid systems, where all variables follow piecewiselinear trajectories. We provide decidability and undecidability results for classes of linear hybrid systems, and we show that standard programanalysis techniques can be adapted to linear hybrid systems. In particular, we consider symbolic modelchecking and minimization procedures that are based on the reachability analysis of an infinite state space. The procedures iteratively compute state sets that are definable as unions of convex polyhedra in multidimensional real space. We also present approximation techniques for dealing with systems for which the iterative procedures do not converge.
The Theory of Hybrid Automata
, 1996
"... A hybrid automaton is a formal model for a mixed discretecontinuous system. We classify hybrid automata acoording to what questions about their behavior can be answered algorithmically. The classification reveals structure on mixed discretecontinuous state spaces that was previously studied on pur ..."
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Cited by 680 (13 self)
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A hybrid automaton is a formal model for a mixed discretecontinuous system. We classify hybrid automata acoording to what questions about their behavior can be answered algorithmically. The classification reveals structure on mixed discretecontinuous state spaces that was previously studied on purely discrete state spaces only. In particular, various classes of hybrid automata induce finitary trace equivalence (or similarity, or bisimilarity) relations on an uncountable state space, thus permitting the application of various modelchecking techniques that were originally developed for finitestate systems.
HyTech: A Model Checker for Hybrid Systems
 Software Tools for Technology Transfer
, 1997
"... A hybrid system is a dynamical system whose behavior exhibits both discrete and continuous change. A hybrid automaton is a mathematical model for hybrid systems, which combines, in a single formalism, automaton transitions for capturing discrete change with differential equations for capturing conti ..."
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Cited by 471 (6 self)
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A hybrid system is a dynamical system whose behavior exhibits both discrete and continuous change. A hybrid automaton is a mathematical model for hybrid systems, which combines, in a single formalism, automaton transitions for capturing discrete change with differential equations for capturing continuous change. HyTech is a symbolic model checker for linear hybrid automata, a subclass of hybrid automata that can be analyzed automatically by computing with polyhedral state sets. A key feature of HyTech is its ability to perform parametric analysis, i.e. to determine the values of design parameters for which a linear hybrid automaton satisfies a temporallogic requirement. 1 Introduction A hybrid system typically consists of a collection of digital programs that interact with each other and with an analog environment. Examples of hybrid systems include manufacturing controllers, automotive and flight controllers, medical equipment, microelectromechanical systems, and robots. When thes...
Computing Simulations on Finite and Infinite Graphs
, 1996
"... . We present algorithms for computing similarity relations of labeled graphs. Similarity relations have applications for the refinement and verification of reactive systems. For finite graphs, we present an O(mn) algorithm for computing the similarity relation of a graph with n vertices and m edges ..."
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Cited by 186 (6 self)
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. We present algorithms for computing similarity relations of labeled graphs. Similarity relations have applications for the refinement and verification of reactive systems. For finite graphs, we present an O(mn) algorithm for computing the similarity relation of a graph with n vertices and m edges (assuming m n). For effectively presented infinite graphs, we present a symbolic similaritychecking procedure that terminates if a finite similarity relation exists. We show that 2D rectangular automata, which model discrete reactive systems with continuous environments, define effectively presented infinite graphs with finite similarity relations. It follows that the refinement problem and the 8CTL modelchecking problem are decidable for 2D rectangular automata. 1 Introduction A labeled graph G = (V; E;A; hh\Deltaii) consist of a (possibly infinite) set V of vertices, a set E ` V 2 of edges, a set A of labels, and a function hh\Deltaii : V ! A that maps each vertex v to a label hh...
Algorithmic analysis of nonlinear hybrid systems
 in Proc. CAV 95: Computeraided Verification, Lecture Notes in Computer Science
, 1995
"... Abstract—Hybrid systems are digital realtime systems that are embedded in analog environments. Modelchecking tools are available for the automatic analysis of linear hybrid automata, whose environment variables are subject to piecewiseconstant polyhedral differential inclusions. In most embedded ..."
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Cited by 136 (13 self)
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Abstract—Hybrid systems are digital realtime systems that are embedded in analog environments. Modelchecking tools are available for the automatic analysis of linear hybrid automata, whose environment variables are subject to piecewiseconstant polyhedral differential inclusions. In most embedded systems, however, the environment variables have differential inclusions that vary with the values of the variables, e.g., _x = x. Such inclusions are prohibited in the linear hybrid automaton model. We present two methods for translating nonlinear hybrid systems into linear hybrid automata. Properties of the nonlinear systems can then be inferred from the automatic analysis of the translated linear hybrid automata. The first method, called clock translation, replaces constraints on nonlinear variables by constraints on clock variables. The clock translation is efficient but has limited applicability. The second method, called linear phaseportrait approximation, conservatively overapproximates the phase portrait of a hybrid automaton using piecewiseconstant polyhedral differential inclusions. Both methods are sound for safety properties; that is, if we establish a safety property of the translated linear system, we may conclude that the original nonlinear system satisfies the property. When applicable, the clock translation is also complete for safety properties; that is, the original system and the translated system satisfy the same safety properties. The phaseportrait approximation method is not complete for safety properties, but it is asymptotically complete; intuitively, for every safety property, and for every relaxed nonlinear system arbitrarily close to the original, if the relaxed system satisfies the safety property, then there is a linear phaseportrait approximation that also satisfies the property. We illustrate both methods by using HYTECH—a symbolic model checker for linear hybrid automata—to automatically check properties of a nonlinear temperature controller and of a predator–prey ecology. Index Terms — Clock translation, formal verification, hybrid systems, HYTECH, linear hybrid automata, model checking, phaseportrait approximation, predator–prey ecologies.
HYTECH: The next generation
 In Proceedings of the 16th IEEE RealTime Systems Symposium
, 1995
"... Abstract. We describe a new implementation of HyTech 1,asymbolic model checker for hybrid systems. Given a parametric description of an embedded system as a collection of communicating automata, HyTech automatically computes the conditions on the parameters under which the system satis es its safety ..."
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Cited by 122 (10 self)
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Abstract. We describe a new implementation of HyTech 1,asymbolic model checker for hybrid systems. Given a parametric description of an embedded system as a collection of communicating automata, HyTech automatically computes the conditions on the parameters under which the system satis es its safety and timing requirements. While the original HyTech prototype was based on the symbolic algebra tool Mathematica, the new implementation is written in C ++ and builds on geometric algorithms instead of formula manipulation. The new HyTech o ers a cleaner and more expressive input language, greater portability, superior performance (typically two to three orders of magnitude), and new features such as diagnostic errortrace generation. We illustrate the e ectiveness of the new implementation by applying HyTech to the automatic parametric analysis of the generic railroad crossing benchmark problem [HJL93] and to an active structure control algorithm [ECB94]. 1
Forward and Backward Simulations  Part II: TimingBased Systems
 Information and Computation
, 1995
"... A general automaton model for timingbased systems is presented and is used as the context for developing a variety of simulation proof techniques for such systems. These techniques include (1) refinements, (2) forward and backward simulations, (3) hybrid forwardbackward and backwardforward sim ..."
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Cited by 86 (28 self)
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A general automaton model for timingbased systems is presented and is used as the context for developing a variety of simulation proof techniques for such systems. These techniques include (1) refinements, (2) forward and backward simulations, (3) hybrid forwardbackward and backwardforward simulations, and (4) history and prophecy relations. Relationships between the different types of simulations, as well as soundness and completeness results, are stated and proved. These results are (with one exception) analogous to the results for untimed systems in Part I of this paper. In fact, many of the results for the timed case are obtained as consequences of the analogous results for the untimed case.
DiscreteTime Control for Rectangular Hybrid Automata
"... Rectangular hybrid automata model digital control programs of analog plant environments. We study rectangular hybrid automata where the plant state evolves continuously in realnumbered time, and the controller samples the plant state and changes the control state discretely, only at the integer poi ..."
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Cited by 80 (9 self)
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Rectangular hybrid automata model digital control programs of analog plant environments. We study rectangular hybrid automata where the plant state evolves continuously in realnumbered time, and the controller samples the plant state and changes the control state discretely, only at the integer points in time. We prove that rectangular hybrid automata have nite bisimilarity quotients when all control transitions happen at integer times, even if the constraints on the derivatives of the variables vary between control states. This is in contrast with the conventional model where control transitions may happen at any real time, and already the reachability problem is undecidable. Based on the nite bisimilarity quotients, we give an exponential algorithm for the symbolic samplingcontroller synthesis of rectangular automata. We show our algorithm to be optimal by proving the problem to be EXPTIMEhard. We also show that rectangular automata form a maximal class of systems for which the samplingcontroller synthesis problem can be solved algorithmically.
Hybrid Automata with Finite Bisimulations
, 1995
"... . The analysis, verification, and control of hybrid automata with finite bisimulations can be reduced to finitestate problems. We advocate a timeabstract, phasebased methodology for checking if a given hybrid automaton has a finite bisimulation. First, we factor the automaton into two components, ..."
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Cited by 64 (6 self)
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. The analysis, verification, and control of hybrid automata with finite bisimulations can be reduced to finitestate problems. We advocate a timeabstract, phasebased methodology for checking if a given hybrid automaton has a finite bisimulation. First, we factor the automaton into two components, a boolean automaton with a discrete dynamics on the finite state space B m and a euclidean automaton with a continuous dynamics on the infinite state space R n . Second, we investigate the phase portrait of the euclidean component. In this fashion, we obtain new decidability results for hybrid systems as well as new, uniform proofs of known decidability results. For example, we prove that if two hybrid automata have finite bisimulations, and both can be calibrated to a common time scale, then their product also has a finite bisimulation. 1 Introduction A hybrid automaton [2] is a mathematical model for a digital program that interacts with an analog environment. Hybrid automata are usef...
Robust timed automata
 In Proceedings of HART 97
, 1997
"... Abstract. We de ne robust timed automata, which are timed automata that accept all trajectories \robustly": if a robust timed automaton accepts a trajectory, then it must accept neighboring trajectories also � and if a robust timed automaton rejects a trajectory, thenitmust reject neighbori ..."
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Cited by 57 (6 self)
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Abstract. We de ne robust timed automata, which are timed automata that accept all trajectories \robustly&quot;: if a robust timed automaton accepts a trajectory, then it must accept neighboring trajectories also � and if a robust timed automaton rejects a trajectory, thenitmust reject neighboring trajectories also. We show that the emptiness problem for robust timed automata is still decidable, by modifying the region construction for timed automata. We then show that, like timed automata, robust timed automata cannot be determinized. This result is somewhat unexpected, given that in temporal logic, the removal of realtime equality constraints is known to lead to a decidable theory that is closed under all boolean operations. 1