Stable hybrid control based on discrete-event automata and receding-horizon neural regulators

Automatica

Volumn 37, Issue 8, 2001, Pages 1279-1292

  Parisini, T ^a   Sacone, S ^b  

^a POLITECNICO DI MILANO   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

Hybrid control; Neural networks; Nonlinear discrete time receding horizon control

Indexed keywords

AUTOMATA THEORY; COMPUTER AIDED DESIGN; COMPUTER CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK CONTROL; NEURAL NETWORKS;

DISCRETE-EVEN AUTOMATA; RECEDING-HORIZON NEURAL REGULATORS;

NONLINEAR CONTROL SYSTEMS;

EID: 0035427380     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(01)00095-4     Document Type: Article

References (22)

1. Hybrid automata: An algorithmic approach to the specification and verification of hybrid systems
2. Universal approximation bounds for superpositions of a sigmoidal function
3. Neural net approximation
4. Multiple Lyapunov functions and other analysis tools for switched and hybrid systems
5. A unified framework for hybrid control: Model and optimal control theory
6. Stabilizing receding-horizon control of nonlinear time varying systems
7. Sliding-mode control in discrete-state and hybrid systems
8. Stability theory for hybrid dynamical systems
9. Traffic density control for automated highway systems
10. Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations
11. Supervisory hybrid systems
12. Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
13. Stability analysis of switched systems
14. A stabilizing switching scheme for multicontroller systems
15. Modelling and real-time control of traffic flow on the southern part of Boulevard Peripherique in Paris
16. An hybrid-receding-horizon control scheme for nonlinear systems
17. Nonlinear stabilization by receding-horizon neural regulators
18. Neural approximations for infinite-horizon optimal control of nonlinear stochastic systems
19. Modeling, analysis, and optimal control of a class of hybrid systems
20. An invariant based approach to the design of hybrid control systems
21. Approximating networks and extended Ritz method for the solution of functional optimization problems