scholarly journals State space sets with common optimal feedback laws for nonlinear MPC

2021 ◽  
Author(s):  
Ruth Mitze ◽  
Raphael Dyrska ◽  
Kai Konig ◽  
Martin Monnigmann
Keyword(s):  
State Space ◽  
Optimal Feedback ◽  
Feedback Laws

scholarly journals State-space optimal feedback control of optogenetically driven neural activity

2020 ◽  
Author(s):  
Michael F Bolus ◽  
Adam A Willats ◽  
Christopher J. Rozell ◽  
Garrett B Stanley
Keyword(s):  
Feedback Control ◽  
State Space ◽  
Neural Activity ◽  
Optimal Feedback Control ◽  
Optimal Feedback

Mixed Strategy Global Sub-Optimal Feedback Control for Chaotic Systems

1997 ◽  
Vol 07 (03) ◽  
pp. 607-623 ◽  
Author(s):  
H. W. J. Lee ◽  
M. Paskota ◽  
K. L. Teo
Keyword(s):  
Feedback Control ◽  
State Space ◽  
Chaotic Systems ◽  
Mixed Strategy ◽  
The State ◽  
Optimal Feedback Control ◽  
Target Region ◽  
Optimal Feedback ◽  
Control Scheme

How to perform targeting of chaotic systems in a global sense is an important question. In this paper, we address this problem by introducing a mixed strategy global sub-optimal feedback control scheme. The idea is to partition the state space into 2 parts, namely, the target region and its complement. The proposed controller will take different forms depending on which partition of the state space the system is in. Simulations are also provided to illustrate the proposed scheme.

scholarly journals On the construction of nearly time optimal continuous feedback laws around switching manifolds

2020 ◽  
Vol 26 ◽  
pp. 4
Author(s):  
Fabio Ancona ◽  
Cristopher Hermosilla
Keyword(s):  
Optimal Control ◽  
Initial Data ◽  
Optimal Trajectories ◽  
Optimal Feedback ◽  
External Perturbations ◽  
Starting Point ◽  
Time Optimal ◽  
Continuous Feedback ◽  
Time Optimal Control Problem ◽  
Feedback Laws

In this paper, we address the question of the construction of a nearly time optimal feedback law for a minimum time optimal control problem, which is robust with respect to internal and external perturbations. For this purpose we take as starting point an optimal synthesis, which is a suitable collection of optimal trajectories. The construction we exhibit depends exclusively on the initial data obtained from the optimal feedback which is assumed to be known.

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