Automata theory meets approximate dynamic programming: Optimal control with temporal logic constraints

We investigate the synthesis of optimal controllers for continuous-time and continuous-state systems under temporal logic specifications. The specification is expressed as a deterministic, finite automaton (the specification automaton) with transition costs, and the optimal system behavior is captur...

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Veröffentlicht in:2016 IEEE 55th Conference on Decision and Control (CDC) S. 434 - 440
Hauptverfasser: Papusha, Ivan, Jie Fu, Topcu, Ufuk, Murray, Richard M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2016
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Abstract We investigate the synthesis of optimal controllers for continuous-time and continuous-state systems under temporal logic specifications. The specification is expressed as a deterministic, finite automaton (the specification automaton) with transition costs, and the optimal system behavior is captured by a cost function that is integrated over time. We construct a dynamic programming problem over the product of the underlying continuous-time, continuous-state system and the discrete specification automaton. To solve this dynamic program, we propose controller synthesis algorithms based on approximate dynamic programming (ADP) for both linear and nonlinear systems under temporal logic constraints. We argue that ADP allows treating the synthesis problem directly, without forming expensive discrete abstractions. We show that, for linear systems under co-safe temporal logic constraints, the ADP solution reduces to a single semidefinite program.
AbstractList We investigate the synthesis of optimal controllers for continuous-time and continuous-state systems under temporal logic specifications. The specification is expressed as a deterministic, finite automaton (the specification automaton) with transition costs, and the optimal system behavior is captured by a cost function that is integrated over time. We construct a dynamic programming problem over the product of the underlying continuous-time, continuous-state system and the discrete specification automaton. To solve this dynamic program, we propose controller synthesis algorithms based on approximate dynamic programming (ADP) for both linear and nonlinear systems under temporal logic constraints. We argue that ADP allows treating the synthesis problem directly, without forming expensive discrete abstractions. We show that, for linear systems under co-safe temporal logic constraints, the ADP solution reduces to a single semidefinite program.
Author Topcu, Ufuk
Papusha, Ivan
Murray, Richard M.
Jie Fu
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  surname: Jie Fu
  fullname: Jie Fu
  organization: Dept. of Electr. & Comput. Eng., Worcester Polytech. Inst., Worcester, MA, USA
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  givenname: Richard M.
  surname: Murray
  fullname: Murray, Richard M.
  organization: Dept. of Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA
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Snippet We investigate the synthesis of optimal controllers for continuous-time and continuous-state systems under temporal logic specifications. The specification is...
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StartPage 434
SubjectTerms Aerospace electronics
Automata
Continuous time systems
Cost function
Dynamic programming
Optimal control
Trajectory
Title Automata theory meets approximate dynamic programming: Optimal control with temporal logic constraints
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