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Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes, addressing the problem from different standpoints. In particular, the book treats the following topics: How to...
Drives and Control for Industrial Automation presents the material necessary for an understanding of servo control in automation. Beginning with a macroscopic view of its subject, treating drives and control as parts of a single system, the book then pursues a detailed...
Passivity and associated stability conditions form one of the cornerstones in control theory and have begun to be applied in process control. The passivity framework can be used in process input-output controllability analysis as well as control design. Here, the...
focussed on the key steps in soft sensor design: data selection; model structure selection and model validation, respectively. Extensions to the basic steps of soft sensor design, namely soft sensor performance enhancement and the modifications needed to facilitate...
Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a...
Control of Traffic Systems in Buildings, focusing on elevator groups, presents the state of the art in their analysis and control. It covers the theory and design of passenger and cargo traffic systems with actual operational examples and topics of current interest such...
Proportional–integral–derivative (PID) controllers are the most adopted controllers in industrial settings. The availability of microprocessors and software tools and increasing demand for higher product quality at reduced cost have stimulated research to devise new...
One of the main requirements of power quality management is the guarantee of an adequate sinusoidal voltage waveform profile at each node of a network. Such a guarantee is facilitated by adaptive systems able to account for unpredictable fluctuations in operating...
In process modelling, knowledge of the process under consideration is typically partial with significant disturbances to the model. Disturbances militate against the desirable trait of model reproducibility. "Grey-box" identification takes advantage of two sources of...
This book emphasizes the application of Linear Parameter Varying (LPV) gain scheduling techniques to the control of wind energy conversion systems.This reformulation of the classical problem of gain scheduling allows straightforward design procedure and simple...
Actuator saturation is probably the most frequent nonlinearity encountered in control applications and causes "controller" windup and "plant" windup calling for distinct remedies. Peter Hippe presents antiwindup solutions for stable and unstable...
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...
Flexible mechanical systems experience undesirable vibration in response to environmental and operational forces. Vibrations can limit the accuracy of sensitive instruments or cause significant errors in applications where high-precision positioning is essential so...
A common sense of time among the elements of a distributed measurement and control system allows the use of new techniques in solving problems with complex synchronization requirements or arising from the interaction of many sensors and actuators. Such a common sense of...
engineers into a single volume whilst concentrating on two important research control design problems: autopilots with rudder-roll stabilization and fin and combined rudder-fin stabilization. He has been guided by some of the leading marine control academics, in...
Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems. Applying time series analysis in the on-line milieu of most industrial plants has been problematic owing to the...
Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like: How should I carry out the identification of my process to obtain a good model?How can I assess the quality of a model before to using it...
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