Saddle point MPC approach to nonlinear robust sampled-data control problem

2016 ◽  
Vol 14 (1) ◽  
pp. 78-89 ◽  
Author(s):  
Maxime Penet ◽  
Hervé Guéguen ◽  
Aziz Belmiloudi

This chapter aims to study the sampled-data stabilization for large-scale fuzzy interconnected systems. We use two approaches to design the decentralized fuzzy sampled-data controller: Wirtinger's inequality and scaled small gain (SSG) theorem. Our aim is to derive the co-design consisting of the controller gains and sampled period in terms of a set of LMIs. Also, we consider the distributed sampled-data control problem, where the sampling periods among all subsystems may be different, and the actuator in each subsystem is time-driven. Finally, two simulation examples are provided to validate the advantage of the proposed methods.


2019 ◽  
Vol 356 (15) ◽  
pp. 8344-8365 ◽  
Author(s):  
S.H. Lee ◽  
M.J. Park ◽  
O.M. Kwon ◽  
R. Sakthivel

2017 ◽  
Vol 11 (16) ◽  
pp. 2834-2847 ◽  
Author(s):  
Kuppusamy Subramanian ◽  
Palanisamy Muthukumar ◽  
Quanxin Zhu

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