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| Author | : Bertil Thomas |
| Publisher | : |
| Total Pages | : 29 |
| Release | : 1985 |
| Genre | : |
| ISBN | : |
| Author | : Yucai Zhu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 200 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1447120582 |
Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation as well as error bounds of the transfer function. This publication is intended to fill the gap between modern systems and control theory and industrial application. It is based on the results of 10 years of research and application experiences. The theories and models discussed are fully explained and illustrated with case studies. At an early stage the reader is introduced to real applications.
| Author | : Tao Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 487 |
| Release | : 2011-11-16 |
| Genre | : Technology & Engineering |
| ISBN | : 0857299778 |
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
| Author | : Tao Liu |
| Publisher | : Springer |
| Total Pages | : 474 |
| Release | : 2011-11-19 |
| Genre | : Technology & Engineering |
| ISBN | : 9780857299789 |
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
| Author | : Yingmin Jia |
| Publisher | : Springer |
| Total Pages | : 886 |
| Release | : 2018-10-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9811322880 |
These proceedings present selected research papers from CISC’18, held in Wenzhou, China. The topics include Multi-Agent Systems, Networked Control Systems, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Nonlinear and Variable Structure Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles, and so on. Engineers and researchers from academia, industry, and government can get an insight view of the solutions combining ideas from multiple disciplines in the field of intelligent systems.
| Author | : Marco Ceccarelli |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 558 |
| Release | : 2008-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9537619060 |
In this book we have grouped contributions in 28 chapters from several authors all around the world on the several aspects and challenges of research and applications of robots with the aim to show the recent advances and problems that still need to be considered for future improvements of robot success in worldwide frames. Each chapter addresses a specific area of modeling, design, and application of robots but with an eye to give an integrated view of what make a robot a unique modern system for many different uses and future potential applications. Main attention has been focused on design issues as thought challenging for improving capabilities and further possibilities of robots for new and old applications, as seen from today technologies and research programs. Thus, great attention has been addressed to control aspects that are strongly evolving also as function of the improvements in robot modeling, sensors, servo-power systems, and informatics. But even other aspects are considered as of fundamental challenge both in design and use of robots with improved performance and capabilities, like for example kinematic design, dynamics, vision integration.
| Author | : Heinz Unbehauen |
| Publisher | : |
| Total Pages | : 402 |
| Release | : 1987 |
| Genre | : Computers |
| ISBN | : |
Bringing together important advances in the field of continuous system identification, this book deals with both parametric and nonparametric methods. It pays special attention to the problem of retaining continuous model parameters in the estimation equations, to which all the existing techniques used in estimating discrete models may be applied. It is aimed at both the academic researcher and the control engineer in industry. The techniques covered range from certain simple numerical or graphical methods applicable to some of the frequently encountered model forms, to attractive recursive algorithms for continuous model identification suitable for real time implementation. These include the recent methods based on orthogonal functions such as those of Walsh and Poisson moment functionals. Some techniques based on stable model adaptation principles are also presented and illustrated.
| Author | : |
| Publisher | : Academic Press |
| Total Pages | : 300 |
| Release | : 2009-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0080885217 |
Multi-scale analysis and simulation of chemical processing and reactions have received unprecedented attention in recent years; however, measurement technology focused on multi-scale structures, particularly on meso-scale phenomena, has not been sufficiently addressed. This volume of Advances in Chemical Engineering focuses on the "Characterization of Flow, Particles and Interfaces" to alert the chemical engineering community to this challenging issue presenting six meso-scale measurement technologies.
| Author | : |
| Publisher | : |
| Total Pages | : 276 |
| Release | : 1972 |
| Genre | : Mechanics, Applied |
| ISBN | : |
| Author | : Christian Huck |
| Publisher | : MDPI |
| Total Pages | : 496 |
| Release | : 2020-01-03 |
| Genre | : Science |
| ISBN | : 303928052X |
In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.
