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Paper detail

Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints

Controllability maximization problem under sparsity constraints is a node selection problem that selects inputs that are effective for control in order to minimize the energy to control for desired state. In this paper we discuss the equivalence between the sparsity constrained controllability metrics maximization problems and their convex relaxation. The proof is based on the matrix-valued Pontryagin maximum principle applied to the controllability Lyapunov differential equation.

preprint2022arXivOpen access
Tomofumi OhtsukaTakuya IkedaKenji Kashima
Systems and Controleess.SYmath.OC
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Tomofumi OhtsukaTakuya IkedaKenji Kashima

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