2022
DOI: 10.1016/j.automatica.2022.110465
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Stability analysis of reaction–diffusion PDEs coupled at the boundaries with an ODE

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Cited by 5 publications
(7 citation statements)
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“…Some simulations have illustrated our results and design methods. More recent works follow the present chapter as the control of reaction-diffusion equation coupled with ordinary differential equations (see 35 ), or control of such partial differential equation by means of delayed control (see 42 ) to cite just a few. As far as hyperbolic system are considered, nonlinear controllers could be also designed as done in.…”
Section: Discussionmentioning
confidence: 99%
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“…Some simulations have illustrated our results and design methods. More recent works follow the present chapter as the control of reaction-diffusion equation coupled with ordinary differential equations (see 35 ), or control of such partial differential equation by means of delayed control (see 42 ) to cite just a few. As far as hyperbolic system are considered, nonlinear controllers could be also designed as done in.…”
Section: Discussionmentioning
confidence: 99%
“…Here ζ(t) is defined by ζ(t) = i≥N +1 Φ i (0)w i (t) while, following, 41 we introduced the scaled error of observation ẽn (t) = √ λ n e n (t) with e n given by (35). The definitions of C 0 and C 1 are replaced by…”
Section: Control Designmentioning
confidence: 99%
“…Inequality (12) corresponds to an input-output stability (IOS) bound for the closed-loop system. The main contribution of this paper is to design an anti-windup system K a in order to further minimize the effect of the gain ρ a for d ̸ = 0 and further maximize the region of attraction R a for d = 0.…”
Section: Design the Anti-windup Parametersmentioning
confidence: 99%
“…The minimization problem of the effect of the external perturbations on system (3) in closed loop with (8) and ( 9) boils down to designing the anti-windup with minimal ρ a in (12). Due to (21), such minimization can be achieved by solving the following optimization problem:…”
Section: B Optimal Compensator Designmentioning
confidence: 99%
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