Metaheuristic Based Design of Finite-level Dynamic Quantizers for Networked Control Systems
Rodriguez Ramirez Juan Esteban (1451126)
Quantization, that transforms continuous-valued signals into discrete-valued ones, plays a crucial role in the operation of networked control systems (NCSs). There are two issues associated to the quantization of signals: the quantization errors and the communication rate constraint of the channel. In order to diminish the effects of these problems, this thesis focuses on the design of dynamic quantizers that minimize the performance degradation due to the quantization errors considering the communication rate constraint. The quantizer design problem is reduced to a nonconvex optimization problem, then, it cannot be solved by conventional optimization methods. Thus, in this thesis, design methods based on metaheuristics are proposed. Besides, an optimal expression for the design of the quantizer is numerically studied and an event-based switched-type dynamic quantizer is introduced. By numerical examples the effectiveness of the proposed methods is verified and a comparison is carried out among the design methods based on different metaheuristics.