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State-constrained controllability of linear reaction-diffusion systems
- Source :
- ESAIM: Control, Optimisation and Calculus of Variations, ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2021, 27, pp.70. ⟨10.1051/cocv/2021057⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- We study the controllability of a coupled system of linear parabolic equations, with non-negativity constraint on the state. We establish two results of controllability to trajectories in large time: one for diagonal diffusion matrices with an "approximate" nonnegativity constraint, and a another stronger one, with "exact" nonnegativity constraint, when all the diffusion coefficients are equal and the eigenvalues of the coupling matrix have nonnegative real part. The proofs are based on a "staircase" method. Finally, we show that state-constrained controllability admits a positive minimal time, even with weaker unilateral constraint on the state.<br />Comment: 20 pages
- Subjects :
- 0209 industrial biotechnology
Control and Optimization
Diagonal
Optimisation and Calculus of Variations 2020 Mathematics Subject Classification. 35K40
02 engineering and technology
01 natural sciences
controllability
Mathematics - Analysis of PDEs
020901 industrial engineering & automation
Control theory
Reaction–diffusion system
Control
93C20
Applied mathematics
[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]
state-constrained controllability
0101 mathematics
Diffusion (business)
[MATH]Mathematics [math]
Mathematics - Optimization and Control
Eigenvalues and eigenvectors
Mathematics
35K40, 35K57, 93B05, 93C20
010102 general mathematics
parabolic equations
State (functional analysis)
Parabolic partial differential equation
93B05
Constraint (information theory)
Controllability
Computational Mathematics
Control and Systems Engineering
35K57
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Subjects
Details
- Language :
- English
- ISSN :
- 12928119 and 12623377
- Database :
- OpenAIRE
- Journal :
- ESAIM: Control, Optimisation and Calculus of Variations, ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2021, 27, pp.70. ⟨10.1051/cocv/2021057⟩
- Accession number :
- edsair.doi.dedup.....f127f4e5d5fcfccaa892ea2bbaa4341e
- Full Text :
- https://doi.org/10.1051/cocv/2021057⟩