Dissipativity for Lur’e distributed parameter control systems

Dissipativity-based Distributed Nonlinear Predictive Control for Cascaded Systems

Developing centralized controllers for large-scale systems, e.g. complex chemical processes, electrical power networks, is an important, yet challenging problem. Typically, it would be of advantage if one could divide the problem into smaller parts (or subproblems), and to opt for a decentralized or distributed alternative. On the other hand, due to physical interconnections between subsystems,...

a Simplified Model of Distributed Parameter Systems

A generalized simplified model for describing the dynamic behavior of distributed parameter systems is proposed. The various specific characteristics of gain and phase angle of distributed parameter systems are investigated from frequency response formulation and complex plane representation of the proposed simplified model. The complex plane investigation renders some important inequality cons...

Spreading Control for Distributed Parameter Systems

This note contains a description of the concepts of spreadability and feedback spreading control (FSC) for distributed parameter systems (DPS), the approaches used until now along with applications and a list of references to works including peer-reviewed papers, communications to international meetings and theses. Distributed biophysical processes usually involve spreads in space, e.g. biologi...

Modelling and Control for Distributed Parameter Systems

Adaptive Control of Chemical Distributed Parameter Systems

The adaptive output feedback control problem of chemical distributed parameter systems is investigated while the process parameters are unknown. Such systems can be usually modeled by semilinear partial differential equations (PDEs). A combination of Galerkin’s method and proper orthogonal decomposition is applied to generate a reduced order model which captures the dominant dynamic behavior of...