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Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning

., weak grid and the EMI filter). Most of the stability analyses and solutions are based on small-signal stability technology. Unfortunately;

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(In-)Stability of Differential Inclusions

destabilizability, Lyapunov-like functions, called Chetaev and control Chetaev functions in the monograph, are introduced. Based on their definition and by;

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Economic Model Predictive Control

Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated;

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Process Operational Safety and Cybersecurity

: machine-learning-based modeling of nonlinear dynamical systems for model predictive control; a framework for detection and resilient control;

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Multilevel Inverters

Multilevel Inverters: Control Methods and Power Electronics Applications provides a suite of powerful control methods for conventional and;

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Nonlinear Dynamical Systems and Control

dynamical systems, with an emphasis on Lyapunov-based methods. Dynamical system theory lies at the heart of mathematical sciences and engineering;

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Human-Robot Interaction Control Using Reinforcemen t Learning

analysis of human-robot interaction control and reinforcement learning based control. The authors also discuss advanced and cutting-edge;

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Reinforcement Learning

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational;

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Stability and Control of Large-Scale Dynamical Systems

systems, and presents the most complete treatment on vector Lyapunov function methods, vector dissipativity theory, and decentralized control;

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Nonlinear Systems Stability Analysis

. The text covers mostly new topics such as stability of homogonous nonlinear systems and higher order Lyapunov functions derivatives for;

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Nonlinear Systems Stability Analysis

. The text covers mostly new topics such as stability of homogonous nonlinear systems and higher order Lyapunov functions derivatives for;

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Control of Axially Moving Systems

This book provides a comprehensive guideline on dynamic analysis and vibration control of axially moving systems. First, the mathematical;

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Reinforcement Learning Algorithms

This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based;

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Control Techniques for LCL-Type Grid-Connected Inverters

This book focuses on control techniques for LCL-type grid-connected inverters to improve system stability, control performance and;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Model Predictive Control

This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal;

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Predictive Control of Power Converters and Electrical Drives

converters and drives The book starts with an introduction to the subject before the first chapter on classical control methods for power converters;

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Intelligent Control

processes is to combine the strengths of both Lyapunov theory/H theory-based local search methods and stochastic optimization-based global search;

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Lyapunov-Based Control of Robotic Systems

understanding of the application of Lyapunov-based control design techniques to up-and-coming problems in robotics.;

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Lyapunov-Based Control of Robotic Systems

understanding of the application of Lyapunov-based control design techniques to up-and-coming problems in robotics.;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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Multilevel Inverters

principles of inverters using the conventional pulse width modulated control method. Current and voltage based closed loop control methods such as;

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Control of Power Inverters in Renewable Energy and Smart Grid Integration

frontier for smart grid advancements. Inverters should be controlled properly so that their integration does not jeopardize the stability and;

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Learning Control

introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and;

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Attractor Dimension Estimates for Dynamical Systems: Theory and Computation

-dimensional Euclidean spaces or on manifolds. It also discusses stability investigations using estimates based on Lyapunov functions and adapted;

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