Stability analysis of nonlinear processes using empirical state affine models and LMIs

Journal of Process Control

Volumn 11, Issue 4, 2001, Pages 375-386

  Budman, Hector M ^a   Knapp, Timothy ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

analysis; CSTR reactor; Gain scheduling; Linear matrix inequalities; Robust stability

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; DATA STRUCTURES; ERROR ANALYSIS; MATHEMATICAL MODELS; MATRIX ALGEBRA; NONLINEAR CONTROL SYSTEMS; POLYNOMIALS; REGRESSION ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); SYSTEM STABILITY;

LINEAR MATRIX INEQUALITIES (LMI); STATE-AFFINE EMPIRICAL MODELS;

PROCESS CONTROL;

EID: 0035427854     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(00)00007-X     Document Type: Article

References (13)

1. Robust controller design for a nonlinear CSTR
2. A conic sector based methodology for nonlinear control design
3. Robust control design of nonlinear processes using empirical state affine models
4. Realization theory of discrete-time nonlinear systems: Part I. The bounded case
5. Modeling of nonlinear discrete-time systems from input/output data
6. Quadratic stability with real and complex perturbations
7. Robust stability and performance of uncertain systems in state space
8. Gain scheduled process control: A review
9. Robust performance of LPV's using parametrically dependent linear feedback
10. Random and pseudorandom inputs for volterra filter identification
11. Affine parameter-dependent lyapunov functions for real parametric uncertainty