Direct data-driven state-feedback control of general nonlinear systems

被引:4
|
作者
Verhoek, Chris [1 ]
Koelewijn, Patrick J. W. [1 ]
Haesaert, Sofie [1 ]
Toth, Roland [1 ,2 ]
机构
[1] Eindhoven Univ Technol, Dept Elect Engn, Control Syst Grp, Eindhoven, Netherlands
[2] Inst Comp Sci & Control, Budapest, Hungary
来源
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年
基金
欧洲研究理事会;
关键词
Data-driven Control; Nonlinear Systems; Linear Parameter-Varying Systems;
D O I
10.1109/CDC49753.2023.10384139
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Through the use of the Fundamental Lemma for linear systems, a direct data-driven state-feedback control synthesis method is presented for a rather general class of nonlinear (NL) systems. The core idea is to develop a data-driven representation of the so-called velocity-form, i.e., the time-difference dynamics, of the NL system, which is shown to admit a direct linear parameter-varying (LPV) representation. By applying the LPV extension of the Fundamental Lemma in this velocity domain, a state-feedback controller is directly synthesized to provide asymptotic stability and dissipativity of the velocity-form. By using realization theory, the synthesized controller is realized as a NL state-feedback law for the original unknown NL system with guarantees of universal shifted stability and dissipativity, i.e., stability and dissipativity w.r.t. any (forced) equilibrium point, of the closed-loop behavior. This is achieved by the use of a single sequence of data from the system and a predefined basis function set to span the scheduling map. The applicability of the results is demonstrated on a simulation example of an unbalanced disc.
引用
收藏
页码:3688 / 3693
页数:6
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