Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis
Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment,...
Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis
There has been great interest in universal controllers that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics.
There has been great interest in universal controllers that mimic the functions of human processes to learn about the systems they are controlling on-...
Offers a survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. This book explicates theoretical and mathematical requisites for controls design and summarizes techniques in computer simulation and implementation of controllers.
Offers a survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control sys...
Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications. Expert contributors share hard-won insight into the practical implementation and integration issues involved in...
Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots authoritatively addresses the theoretical,...
< P> More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic text, and Lewis enlisted the aid of two accomplished experts to bring the book completely up to date with the estimation methods driving today's high-performance systems. A Classic Revisited Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second Edition reflects new...
< P> More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, u...
Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing with complicated nonlinear actuator dynamics. Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities such as time delay, friction, deadzone, and backlash that can be found in all industrial motion systems, plus a thorough...
Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing with compli...
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in...
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control te...
A complete reference to adaptive control of systems with nonsmooth nonlinearities such as:
backlash;
dead-zones;
component failure;
friction;
hysteresis;
saturation;
time delays.
These nonlinearities in industrial actuators cause severe problems in the motion control of industrial processes, particularly in view of modern requirements for speed and precision of movement, such as occur in semiconductor manufacturing, precision machining and elsewhere. Actuator nonlinearities are ubiquitous in engineering practice and limit...
A complete reference to adaptive control of systems with nonsmooth nonlinearities such as:
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in...
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control te...
Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in...
Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communicati...
