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Chapter
Conclusions
This book proposes novel methodologies for stability analysis, disturbance attenuation, and fault estimation for a class of linear/nonlinear uncertain NCSs with random communication network-induced delays and ...
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Chapter
Modeling of Networked Control Systems
In this chapter, the modeling procedure of NCSs will be presented. Before proceeding to the modeling procedure, the following assumptions will be used throughout this book:
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Chapter
Takagi–Sugeno Fuzzy Control System
A nonlinear dynamic system can usually be represented by a set of nonlinear differential equations of the form $$ \dot{x}=f(x,u), (8....
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Chapter
State Feedback Control of Uncertain Networked Control Systems
The Markovian jump linear system (MJLS), which was introduced by Krasovskii and Lidskii [66], is an important class of stochastic dynamic systems that is popular in modeling abrupt changes in the system struct...
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Chapter
Dynamic Output Feedback Control for Uncertain Nonlinear Networked Control Systems
In this chapter, a fuzzy dynamic output feedback controller is designed for a class of uncertain nonlinear NCSs. The design procedure is inherited from the previous chapter. The results are given in terms of t...
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Chapter
Robust Disturbance Attenuation for Uncertain Networked Control Systems
For time-delay problems encountered in engineering, two approaches are employed. One is to obtain information on the time-delay and subsequently to use this information to solve the problem. The other is to at...
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Chapter
Robust Fuzzy Filter Design for Uncertain Nonlinear Networked Control Systems
This chapter investigates the problem of robust fuzzy filter design for a class of nonlinear NCSs, which is a development of the results obtained in Chapter 6. The nonlinear plant is firstly represented by a s...
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Chapter
Robust Fault Estimator Design for Uncertain Networked Control Systems
In order to avoid production deteriorations or damages, system faults have to be identified and decisions that stop the propagation of their effects have to be made. This gives the rise to the research on faul...
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Chapter
State Feedback Control for Uncertain Nonlinear Networked Control Systems
In this chapter, our concern is to consider a class of nonlinear uncertain NCSs with sensors and actuators connected to a controller via two communication networks in the continuous-time domain. Linear feedbac...
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Chapter
Dynamic Output Feedback Control for Uncertain Networked Control Systems
This chapter investigates the stabilization problem for a class of uncertain NCSs with random communication network-induced delays. The synthesis design procedure of a robust dynamic output feedback controller...
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Chapter
Robust Disturbance Attenuation for Uncertain Nonlinear Networked Control Systems
In this chapter, we consider the problem of robust fuzzy disturbance attenuation for a class of uncertain nonlinear NCSs. The Lyapunov–Razumikhin method has been employed to derive such a controller for this c...
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Chapter
Robust Filter Design for Uncertain Networked Control Systems
Knowing the system state is necessary to solve many control theory problems. In most practical cases, however, the physical state of the system cannot be determined by direct observation. Instead, indirect eff...
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Chapter
Fault Estimation for Uncertain Nonlinear Networked Control Systems
This chapter proposes a robust fuzzy fault estimator for a class of nonlinear uncertain NCSs that ensures the fault estimation error is less than prescribed
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Chapter
Introduction
The point-to-point architecture is the traditional communication architecture for control systems, that is, sensors and/or actuators are connected to controllers via wires. In recent years, due to the expansio...
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Chapter and Conference Paper
UNIO: A Unified I/O System Framework for Hybrid Scientific Workflow
Recent years have seen an increasing number of Hybrid Scientific Applications. They often consist of one HPC simulation program along with its corresponding data analytics programs. Unfortunately, current comp...