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Nonlinear control systems and power system dynamics

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TLDR
This book discusses the design Principles of Single-Input Single-Output Nonlinear Control Systems and their applications in Electric Power Systems and Nonlinear Excitation Control of Large Synchronous Generators.
Abstract
Preface. 1. Introduction. 2. Basic Concepts of Nonlinear Control Theory. 3. Design Principles of Single-Input Single-Output Nonlinear Control Systems. 4. Design Principles of Multi-Input Multi-Output Nonlinear Control Systems. 5. Basic Mathematical Descriptions for Electric Power Systems. 6. Nonlinear Excitation Control of Large Synchronous Generators. 7. Nonlinear Steam Valving Control. 8. Nonlinear Control of HVDC Systems. 9. Nonlinear Control of Static Var Systems. 10. Nonlinear Robust Control of Power Systems. Index.

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Citations
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Journal ArticleDOI

Decentrailized formation flight control of quadcopters using robust feedback linearization

TL;DR: The feedback linearization can transform nonlinear quadcopters dynamics into simple fourth-order and double integrators, for which a linear formation control law is designed to achieve a desired formation and heading synchronization through local information exchanges only.
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Hamiltonian modelling and nonlinear disturbance attenuation control of TCSC for improving power system stability

TL;DR: In this paper, an affine non-linear system widely existing in power systems is formulated as a standard Hamiltonian system using a pre-feedback method, and a nonlinear adaptive L 2 gain control method is proposed to solve the problem of L2 gain disturbance attenuation.
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Fuzzy Predictive DTC of Induction Machines With Reduced Torque Ripple and High-Performance Operation

TL;DR: In this article, an enhanced strategy for direct torque control (DTC) combining artificial intelligent (AI) and predictive algorithms was proposed, where fuzzy logic control with dynamic rules based on the P-DTC law's was introduced to reduce the parameter dependency and improve the performance of DTC.
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Reducing Power Load Fluctuations on Ships Using Power Redistribution Control

TL;DR: In this article, a new controller to reduce the load fluctuations generated by consumers operating in marine power systems is proposed, which redistributes the power from consumers that generate load fluctuations to thrusters that compensate for fluctuations.
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Energy-Based $L_2$ Disturbance Attenuation Excitation Control of Differential Algebraic Power Systems

TL;DR: A decentralized L 2 excitation control scheme is proposed to improve the transient stability of the system and it is proposed that pre-feedback is employed to transform the power system into a dissipative Hamiltonian form.
References
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Journal ArticleDOI

State-space solutions to standard H/sub 2/ and H/sub infinity / control problems

TL;DR: In this article, simple state-space formulas are derived for all controllers solving the following standard H/sub infinity / problem: for a given number gamma > 0, find all controllers such that the H/ sub infinity / norm of the closed-loop transfer function is (strictly) less than gamma.
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Dissipative dynamical systems part I: General theory

TL;DR: In this paper, a general theory of dissipative dynamical systems is presented, where dissipativeness is defined in terms of an inequality involving the storage function and the supply function, which is bounded from below by the available storage and from above by the required supply.
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Dissipative dynamical systems Part II: Linear systems with quadratic supply rates

TL;DR: The theory of dissipative systems in the context of finite dimensional stationary linear systems with quadratic supply rates has been studied in this paper, where a necessary and sufficient frequency domain condition for dissipativeness is derived.
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The stability of nonlinear dissipative systems

TL;DR: In this article, a technique for generating Lyapunov functions for a broad class of nonlinear systems represented by state equations is presented, where dissipativeness is characterized by the existence of a computable function which can be interpreted as the stored energy of the system.