Subspace identification for nonlinear systems that are linear in unmeasured states

Proceedings of the IEEE Conference on Decision and Control

Volumn 4, Issue , 2001, Pages 3518-3523

  Lacy, Seth L ^a   Bernstein, Dennis S ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL NONLINEARITIES; CORRELATION THEORY; DELAY CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MULTIVARIABLE CONTROL SYSTEMS; NONLINEAR CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS;

MULTI-INPUT MULTI-OUTPUT SYSTEM; NONLINEAR FEEDBACK SYSTEM; NONLINEAR SUBSPACE IDENTIFICATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0035711060     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Consistency and relative efficiency of subspace methods
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5. Subspace identification from closed loop data
6. On- and off-line identification of linear state-space models
7. N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
8. A unifying theorem for three subspace system identification algorithms
9. Nonlinear system identification using hammerstein and nonlinear feedback models with piecewise linear static maps - Part I: Theory - Part II: Numerical examples
10. Identifying MIMO Hammerstein systems in the context of subspace model identification methods
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12. Subspace-based methods for the identification of linear time-invariant systems
13. Identifying MIMO Wiener systems using subspace model identification methods