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Data-based control of continuous-time linear systems with performance specifications
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DOI：10.1016/j.automatica.2026.113002.png)
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Abstract
En 中文
The design of direct data-based controllers has become a fundamental part of control theory research in the last few years. In this paper, we consider three classes of data-based state feedback control problems for linear systems. These control problems are such that, besides stabilization, some additional performance requirements must be satisfied. First, we formulate and solve a trajectory-reference control problem, on which desired closed-loop trajectories are known and a controller that allows the system to closely follow those trajectories is computed. Then, the solution of the LQR problem for continuous-time systems is presented. Finally, we introduce a data-based variant of a robust pole-placement procedure, where the precise position of the desired closed-loop poles is known. The applicability of the proposed methods is tested using numerical simulations.
Keywords:
Data-based control
Continuous-time systems
Linear matrix inequalities
Pole placement
Optimal control
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