Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric changes than infinite horizon control; better tracking than PID and good constraint handling among others.
The text builds understanding starting with optimal controls for simple linear systems and working through constrained...
Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the proce...
Discrete-event dynamic systems (DEDs) permeate our world, being of great importance in modern manufacturing processes, transportation and various forms of computer and communications networking.
Modeling and Control of Discrete-event Dynamic Systems begins with the mathematical basics required for the study of DEDs and moves on to present various tools used in their modeling and control. Among the instruments explained are many forms of Petri net, Grafcet (the sequential function chart), state charts, formal languages and max-plus algebra; all...
Discrete-event dynamic systems (DEDs) permeate our world, being of great importance in modern manufacturing processes, transportation and various f...
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary batde between old and new usually takes place at conferences, through the Internet and in the journals of the discipline. After a litde more...
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, ...
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more...
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, ...
Fundamental and technological topics are blended uniquely and developed clearly in nine chapters - with a gradually increasing level of complexity. A wide variety of relevant problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained, step by step.
Fundamental coverage includes kinematics, statics and dynamics of manipulators, and trajectory planning and motion control in free space.
Technological aspects include actuators, sensors, hardware- and software-control architectures and industrial robot-control...
Fundamental and technological topics are blended uniquely and developed clearly in nine chapters - with a gradually increasing level of complexity....
The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron,...
The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated a...
Early and accurate fault detection and diagnosis for modern manufacturing processes can minimise downtime, increase the safety of plant operations, and reduce costs. Such process monitoring techniques are regularly applied to real industrial systems. Fault Detection and Diagnosis in Industrial Systems presents the theoretical background and practical methods for process monitoring. The coverage of data-driven, analytical and knowledge-based techniques include:
principal component analysis
Fisher discriminant analysis
partial least squares
canonical...
Early and accurate fault detection and diagnosis for modern manufacturing processes can minimise downtime, increase the safety of plant operations,...
Adaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has been successfully applied in practice. Controller design requires knowledge of the plant to be controlled which is not always readily accessible; self-tuning controllers gather such information during normal operation and adjust controller designs on-line as required.
Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of...
Adaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has...
Robot control is the backbone of robotics, an essential discipline in the maintenance of high quality and productivity in modern industry. The most common method of control for industrial robotic manipulators relies on the measurement and amendment of joint displacement: so-called "joint-space control."
Control of Robot Manipulators in Joint Space addresses robot control in depth, treating a range of model-based controllers in detail: proportional derivative; proportional integral derivative; computed torque and some adaptive variants. Using varying combinations of the text...
Robot control is the backbone of robotics, an essential discipline in the maintenance of high quality and productivity in modern industry. The most...
In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the pro cess control problem in the time domain are two reasons for their popularity. This volume by authors of international repute provides an extensive review concerning the theoretical and practical aspects of predictive controllers. It describes the most commonly used MPC strategies, especially Generalised Predictive Control (GPC), showing both...
In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. ...
