TY - JOUR
T1 - Delayed finite-dimensional observer-based control of 1D parabolic PDEs via reduced-order LMIs
AU - Katz, Rami
AU - Fridman, Emilia
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8
Y1 - 2022/8
N2 - Recently a constructive method was introduced for finite-dimensional observer-based control of 1D parabolic PDEs. In this paper we present an improved method in terms of the reduced-order LMIs (that significantly reduce the computation time) and introduce predictors to manage with larger delays. We treat the case of a 1D heat equation under Neumann actuation and non-local measurement, that has not been studied yet. We apply modal decomposition and prove L2 exponential stability by a direct Lyapunov method. We provide reduced-order LMI conditions for finding the observer dimension N and resulting decay rate. The LMI dimension does not grow with N. The LMI is always feasible for large N, and feasibility for N implies feasibility for N+1. For the first time we manage with delayed implementation of the controller in the presence of fast-varying (without any constraints on the delay-derivative) input and output delays. To manage with larger delays, we construct classical observer-based predictors. For the known input delay, the LMIs’ dimension does not grow with N, whereas for unknown one the LMIs dimension grows, but it is essentially smaller than in the existing results. A numerical example demonstrates the efficiency of our method.
AB - Recently a constructive method was introduced for finite-dimensional observer-based control of 1D parabolic PDEs. In this paper we present an improved method in terms of the reduced-order LMIs (that significantly reduce the computation time) and introduce predictors to manage with larger delays. We treat the case of a 1D heat equation under Neumann actuation and non-local measurement, that has not been studied yet. We apply modal decomposition and prove L2 exponential stability by a direct Lyapunov method. We provide reduced-order LMI conditions for finding the observer dimension N and resulting decay rate. The LMI dimension does not grow with N. The LMI is always feasible for large N, and feasibility for N implies feasibility for N+1. For the first time we manage with delayed implementation of the controller in the presence of fast-varying (without any constraints on the delay-derivative) input and output delays. To manage with larger delays, we construct classical observer-based predictors. For the known input delay, the LMIs’ dimension does not grow with N, whereas for unknown one the LMIs dimension grows, but it is essentially smaller than in the existing results. A numerical example demonstrates the efficiency of our method.
KW - Distributed parameter systems
KW - Heat equation
KW - Lyapunov method
KW - Observer-based control
KW - Time-delay
UR - http://www.scopus.com/inward/record.url?scp=85129526929&partnerID=8YFLogxK
U2 - 10.1016/j.automatica.2022.110341
DO - 10.1016/j.automatica.2022.110341
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AN - SCOPUS:85129526929
SN - 0005-1098
VL - 142
JO - Automatica
JF - Automatica
M1 - 110341
ER -