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In this article, we introduce a promising methodology for designing stabilizing and high-performance yet practical topology-exploiting dynamic controllers for LTI decentralized systems, that is fundamentally based on 1) envisioning a control architecture with direct local feedback of multiple derivatives of the observation and 2) using multi-lead-compensator and multiple-delay control schemes to implement...
This work presents a methodology for the design of a model-based networked control system for spatially distributed processes described by linear parabolic partial differential equations (PDEs) with measurement sensors that transmit their data to the controller/actuators over a bandwidth-limited communication network. The central design objective is to minimize the transfer of information from the...
This paper presents a Galerkin/neural-network- based guaranteed cost control (GCC) design for a class of parabolic partial differential equation (PDE) systems with unknown nonlinearities. A parabolic PDE system typically involves a spatial differential operator with eigenspectrum that can be partitioned into a finite-dimensional slow one and an infinite-dimensional stable fast complement. Motivated...
This paper presents a fault-tolerant control (FTC) architecture for spatially distributed processes described by quasi-linear parabolic partial differential equations (PDEs) with control constraints and control actuator faults. The architecture integrates model-based fault detection, spatially distributed feedback and supervisory control to orchestrate switching between different actuator configurations...
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