Merging Optimization and Control in Power Systems A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions In Merging Optimization and Control in Power Systems...Loe edasi...
This book proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks and can be regarded as an authoritative reference for the study of dynamic...Loe edasi...
This book provides a practical review of sliding mode controllers (SMC), proposing a complete and fast access to related theorems, stability analysis, MATLAB programming and results, and quantitative and comprehensive analysis. Consisting of 12 chap...Loe edasi...
Automatic control research focuses on subjects pertaining to the theory and practice of machine-aided work, subjects such as industrial automation, robotics, and human-machine interaction. With each passing year, these subjects become more relevant...Loe edasi...
Sensorless Control of Permanent Magnet Synchronous Machine Drives A comprehensive resource providing basic principles and state-of-the art developments in sensorless control technologies for permanent magnet synchronous machine drives...Loe edasi...
Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, controller design, analyses, and case studies Advanced Control of Power Converters equips readers with the latest knowledge of three control methods...Loe edasi...
Advanced and systematic examination of the design and analysis of networked control systems and multi-agent systems. Control Over Communication Networks provides a systematic and nearly self-contained description of the analysis and design of networ...Loe edasi...
Disturbance Observer for Advanced Motion Control with MATLAB/Simulink A fulsome and robust presentation of disturbance observers complete with MATLAB sample programs and simulation results In Disturbance Observer for Advanced...Loe edasi...
Whilst reinforcement learning has gained tremendous success and popularity in recent years, most research papers and books focus on either the theory (optimal control and dynamic programming) or the algorithms (mostly simulation-based). From a contr...Loe edasi...
In Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers, accomplished control engineer Dr. Jongrae Kim delivers an insightful and concise introduction to the advanced programming skills required by control engineers. The bo...Loe edasi...
Merging Optimization and Control in Power Systems A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions In Merging Optimization and Control in Power Systems...Loe edasi...
This book aims to provide exposure to different embedded platforms limitations for an exact realization of a controller in robotic applications. Typical issues in embedded implementation are limited memory, limited data-width, quantization noise, s...Loe edasi...
Comprehensive explorations of vehicle, path, and path tracking models, model-in-the-loop simulation models, and hardware-in-the-loop models. In-depth examinations of collision free path planning and collision avoidance. Perfect for advanced undergrad...Loe edasi...
