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Fuzzy Control and Identification
A comprehensive introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systemsA fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that makes decisions using human reasoning processes. This book presents an introductory-level exposure to two of the principal uses for fuzzy logic—identification and control. Drawn from the author's lectures presented in a graduate-level course over the past decade, this volume serves as a holistically suitable single text for a fuzzy control course, compiling the information often found in several different books on the subject into one.Starting with explanations of fuzzy logic, fuzzy control, and adaptive fuzzy control, the book introduces the concept of expert knowledge, which is the basis for much of fuzzy control. From there, the author covers:Basic concepts of fuzzy sets such as membership functions, universe of discourse, linguistic variables, linguistic values, support, a-cut, and convexityBoth Mamdani and Takagi-Sugeno fuzzy systems, showing how an effective controller can be designed for many complex nonlinear systems without mathematical models or knowledge of control theory while also suggesting several approaches to modeling of complex engineering systems with unknown modelsHow PID controllers can be made fuzzy and why this is usefulPosition-form and incremental-form fuzzy controllersHow nonlinear systems can be modeled as fuzzy systems in several formsHow fuzzy tracking control and model reference control can be realized for nonlinear systems using parallel distributed techniquesThe estimation of nonlinear systems using the batch least squares, recursive least squares, and gradient methodsThe creation of direct and indirect adaptive fuzzy controllersAlso included are many examples, exercises, and computer program listings, all class-tested. Fuzzy Control and Identification is intended for seniors and first-year graduate students, and is suitable for any engineering department. No knowledge specific to any particular branch of engineering is required, and no knowledge of electrical, chemical, or mechanical systems is necessary to read and understand the material.
eBook
Control of fluid-containing rotating rigid bodies
\"This book is devoted to the study of the dynamics of rotating bodies with cavities containing liquid. Two basic classes of motion are analyzed: rotation and libration. Cases of complete and partial filling of cavities with ideal liquid and complete filling with viscous liquid are treated. A method is presented for obtaining relations between angular velocities perpendicular to main rotation and external force momentums, treated as control. This work will be of interest to professionals and researchers at universities and laboratories specializing in problems of control for hybrid systems and aerospace/mechanical engineering, as well as to under-/postgraduates with this specialization\"-- Provided by publisher.
Book
Variance-constrained multi-objective
* Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena
* Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance
* Includes case studies of several nonlinear stochastic systems
* Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations
* Considers both time-invariant systems and time-varying systems
* Exploits newly developed techniques to handle the emerging mathematical and computational challenges
eBook
Advanced Mathematical Tools for Control Engineers
Advanced Mathematical Tools for Control Engineers: Volume 1 provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control.
eBook
Vehicle dynamics estimation using Kalman filtering
Vehicle dynamics and stability have been of considerable interest for a number of years. The obvious dilemma is that people naturally desire to drive faster and faster yet expect their vehicles to be “infinitely” stable and safe during all normal and emergency maneuvers. For the most part, people pay little attention to the limited handling potential of their vehicles until some unusual behavior is observed that often results in accidents and even fatalities.
This book presents several model-based estimation methods which involve information from current potential-integrable sensors. Improving vehicle control and stabilization is possible when vehicle dynamic variables are known. The fundamental problem is that some essential variables related to tire/road friction are difficult to measure because of technical and economical reasons. Therefore, these data must be estimated.
It is against this background, that this book’s objective is to develop estimators in order to estimate the vehicle’s load transfer, the sideslip angle, and the vertical and lateral tire/road forces using a roll model. The proposed estimation processes are based on the state observer (Kalman filtering) theory and the dynamic response of a vehicle instrumented with standard sensors. These estimators are able to work in real time in normal and critical driving situations. Performances are tested using an experimental car in real driving situations. This is exactly the focus of this book, providing students, technicians and engineers from the automobile field with a theoretical basis and some practical algorithms useful for estimating vehicle dynamics in real-time during vehicle motion.
eBook
Control System Design - An Introduction
This book covers the theory and mathematics needed to understand the concepts in control system design. Chapter 1 deals with compensation network design. Nonlinear control systems, including phase-plane analysis and the Delta method are presented in chapter 2. The analysis and design aspects based on the state variable approach are presented in Chapter 3. The discrete time control systems form the basis for the study of digital control systems in Chapter 4, covering the frequency response, root locus analysis, and stability considerations for discrete-time control systems. The stability analysis based on the Lyapunov method is given in chapter 5. The appendices include two US government articles on industrial control systems (NIST) and the control system design for a solar energy storage system (U.S. Dept. of Energy). Concepts in the text are supported by numerical examples.
eBook
Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques
The Second Volume of this work continues the approach of the First Volume, providing mathematical tools for the control engineer and examining such topics as random variables and sequences, iterative logarithmic and large number laws, differential equations, stochastic measurements and optimization, discrete martingales and probability space. Included are proofs of all theorems and contains many examples with solutions. Written for researchers, engineers and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to system and automatic control theories. It is written for researchers, engineers and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to system and automatic control theories with applications to game theory, machine learning and intelligent systems.
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Predictive Control of Power Converters and Electrical Drives
<p>The application Model Predictive Control (MPC) controls electrical energy with the use of power converters and offers a highly flexible alternative to the use of modulators and linear controllers. This new approach takes into account the discrete and nonlinear nature of the power converters and drives and promises to have a strong impact on control in power electronics in the coming decades.</p> <p><i>Predictive Control of Power Converters and Electrical Drives</i> provides a comprehensive overview of the general principles and current research into MPC and is ideal for engineers, specialists and researchers needing: </p> <ul> <li>a straightforward explanation of the theory and implementation of predictive control;</li> <li>analysis on classical converter control methods and electrical drives control methods;</li> <li>application examples and case studies demonstrating how control schemes have been implemented;</li> <li>practice in running their own MATLAB<sup>(R)</sup> simulations through the companion website.</li> </ul> <p>With the information provided, power electronics specialists will be able to start applying this new control technique. This book will help electrical, electronics and control engineers, R&D engineers, product development engineers working in power electronics and drives, and industry engineers of power conversions and motor drives. It is also a complete reference for university researchers, graduate and senior-level undergraduate students of electrical and electronics engineering, academic control specialists, and academics in electrical drives.</p> <p>URL: www.wiley.com/go/rodriguez_control</p>
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