Towards understanding the capability of adaptation for time-varying systems

Automatica

Volumn 37, Issue 10, 2001, Pages 1551-1560

  Xue, F ^a   Guo, L ^a   Huang, M Y ^b  

^a INSTITUTE OF SYSTEMS SCIENCE   (China)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Adaptation; Complexity; Markov chain; Stability; Uncertainty

Indexed keywords

CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; LINEAR CONTROL SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; UNCERTAIN SYSTEMS;

FINITE STATE HIDDEN MARKOV CHAINS; FIRST-ORDER LINEAR SYSTEMS;

TIME VARYING CONTROL SYSTEMS;

EID: 0035480319     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(01)00098-X     Document Type: Article

References (11)

1. Design of adaptive algorithms for the tracking of time-varying systems
2. On adaptive stabilization of time-varying stochastic systems
3. Performance analysis of general tracking algorithms
4. Robust discrete-time adaptive control
5. Model reference adaptive control of time varying and stochastic systems
6. Adaptive control of time-varying linear systems
7. Identification of ARX models with Markovian parameters
8. Fast identification n-widths and uncertainty principles for LTI and slowly varying systems