Input-to-state stabilization for nonlinear sampled-data systems via approximate discrete-time plant models

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2001, Pages 887-892

  Nešić, Dragan ^a   Laila, Dina S ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENTIAL EQUATIONS; FEEDBACK CONTROL; FUNCTIONS; LYAPUNOV METHODS; NONLINEAR CONTROL SYSTEMS; RUNGE KUTTA METHODS; SYSTEM STABILITY; THEOREM PROVING;

NONLINEAR SAMPLED-DATA SYSTEMS;

SAMPLED DATA CONTROL SYSTEMS;

EID: 0035709112     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Adaptive identification and control algorithms for nonlinear bacterial growth systems
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5. Controlling nonlinear time varying systems via Euler approximations
6. A note on input to state stabilization for nonlinear sampled-data systems
7. Set stabilization of sampled-data nonlinear differential inclusions via their approximate discrete-time models
8. Input-to-state stability for nonlinear time-varying systems via averaging
9. Sufficient conditions for stabilization of sampled-data nonlinear systems via discrete-time approximations
10. Formulas relating KL stability estimates of discrete-time and sampled-data nonlinear systems
11. Smooth stabilization implies coprime factorization
12. The ISS philosophy os a unifying framework for stability-like behaviour