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Advanced Control Techniques in Complex Engineering Systems: Theory and Applications

decision-making systems, (c) advanced control techniques for industrial and collaborative automation, and (d) modern applications for management;

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Advanced Control Techniques in Complex Engineering Systems: Theory and Applications

decision-making systems, (c) advanced control techniques for industrial and collaborative automation, and (d) modern applications for management;

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets;

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Learning Control

Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also;

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Developments in Advanced Control and Intelligent Automation for Complex Systems

decades, including the progress in advanced control theory and method, intelligent control and decision-making of complex metallurgical processes;

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Autonomous Robot-Aided Optical Manipulation for Biological Cells

many facets of modeling, sensing, and control techniques or experimentally exploring emerging trends in optical manipulation of biological cell;

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Mathematical Modelling and Optimization of Engineering Problems

for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory;

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Control Systems

within this area are employing to try to resolve these. This book on advanced methods of control theory and successful cases in the practical;

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Reliability and Risk Modeling of Engineering Systems

techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance;

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Advanced and Optimization Based Sliding Mode Control

particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new;

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Backstepping Control of Nonlinear Dynamical Systems

. The latest techniques explored include 'active backstepping control', 'adaptive backstepping control', 'fuzzy backstepping control' and;

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Advanced Intelligent Systems for Sustainable Development AI2SD 2019

the concept of advanced intelligent systems and appropriate tools and techniques for modeling, storage management, as well as decision support;

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Advanced Intelligent Systems for Sustainable Development (AI2SD'2019)

the concept of advanced intelligent systems and appropriate tools and techniques for modeling, storage management, as well as decision support;

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Computational Intelligence in Control

of the theory and applications of intelligent systems techniques in modelling control and automation.;

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Wind Energy Systems

quantitative feedback theory (QFT)-a proven, successful robust control technique for real-world applications-as well as advanced switching control;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy;

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Predictive Modelling for Energy Management and Power Systems Engineering

familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and;

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Robust Adaptive Dynamic Programming

engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.;

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Real Time Optimization by Extremum-seeking Control

An up-close look at the theory behind and application of extremum seeking Originally developed as a method of adaptive control for hard-to;

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System Simulation Techniques with MATLAB and Simulink

presented, followed by coverage of intermediate level modelling skills and more advanced techniques in Simulink modelling and applications. Finally;

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Intelligent Information and Database Systems

techniques; intelligent big data exploitation; cloud and network computing; multiple model approach to machine learning; advanced data mining;

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Intelligent Information and Database Systems

techniques; intelligent big data exploitation; cloud and network computing; multiple model approach to machine learning; advanced data mining;

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Optimal Control Applications in Electric Power Systems

applications and also provides an outline of the text. The second chapter is entitled "Some Optimal Control Techniques"; its intent is to introduce;

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Industrial Control Systems

large, complex projects. Yet all these activities have common elements and can be represented by mathematics. Linking theory to practice;

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Advanced Data Analytics for Power Systems

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control;

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Advanced Process Dynamics and Control

grasp of controller tuning. Advanced control strategies and adaptive control are covered with worked out examples.;

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