Q-learning for continuous-time graphical games on large networks with completely unknown linear system dynamics

2016 ◽  
Vol 27 (16) ◽  
pp. 2900-2920 ◽  
Author(s):  
Kyriakos G. Vamvoudakis
Keyword(s):  
Linear System ◽  
System Dynamics ◽  
Continuous Time ◽  
Large Networks ◽  
Q Learning ◽  
Graphical Games

scholarly journals Robust Functional Interval Observer for Multivariable Linear Systems

2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Luc Meyer
Keyword(s):  
Linear System ◽  
Linear Function ◽  
Continuous Time ◽  
State Vector ◽  
Internal State ◽  
Design Procedure ◽  
Reduced Order ◽  
Reduced Order Observer ◽  
Interval Observer ◽  
Interval Observers

The study of a continuous-time multivariable linear system may not need the knowledge of the entire internal state vector, but only of a linear function of it. In this case, instead of designing a complete observer, only a functional (also called reduced order) observer is used. In this field of research, this paper focuses on robust functional cooperative interval observers. Such an observer is proposed and its properties (in particular, its convergence) are established. Then, a design procedure is given for practical use. Finally, the theoretical contributions are illustrated in examples.

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