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Titlebook: ADEX Optimized Adaptive Controllers and Systems; From Research to Ind Juan M. Martín-Sánchez,José Rodellar Book 2015 Springer International

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期刊全稱ADEX Optimized Adaptive Controllers and Systems
期刊簡稱From Research to Ind
影響因子2023Juan M. Martín-Sánchez,José Rodellar
視頻videohttp://file.papertrans.cn/143/142694/142694.mp4
發(fā)行地址Provides the reader with a complete set of proven theoretical concepts and practical tools for the development of industrial optimized adaptive control systems.Demonstrations on regularly-used benchma
學(xué)科分類Advances in Industrial Control
圖書封面Titlebook: ADEX Optimized Adaptive Controllers and Systems; From Research to Ind Juan M. Martín-Sánchez,José Rodellar Book 2015 Springer International
影響因子.This book is a simple and didactic account of the developments and practical applications of predictive, adaptive predictive, and optimized adaptive control from a perspective of stability, including the latest methodology of adaptive predictive expert (ADEX) control..ADEX Optimized Adaptive Control Systems. is divided into six parts, with exercises and real-time simulations provided for the reader as appropriate. The text begins with the conceptual and intuitive knowledge of the technology and derives the stability conditions to be verified by the driver block and the adaptive mechanism of the optimized adaptive controller to guaranty the desired control performance. The second and third parts present strategic considerations of predictive control and related adaptive systems necessary for the proper design of driver block and adaptive mechanism and thence their technical realization. The authors then proceed to detail the stability theory that supports predictive, adaptive predictive and optimized adaptive control methodologies. Benchmark applications of these methodologies (distillation column and pulp-factory bleaching plant) are treated next with a focus on practical implemen
Pindex Book 2015
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https://doi.org/10.1007/978-3-031-48415-5bustness properties in the presence of modeling errors, are analyzed and illustrated by means of various examples. In addition, the significance of the principal design parameters, in particular, the length of the prediction horizon, is considered.
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https://doi.org/10.1007/978-3-031-48415-5eory in the context of adaptive predictive control. The fact that the Basic Strategy is incapable of controlling processes with inverse unstable is highlighted by means of an example that demonstrates the need for an extended strategy.
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Analysis and Synthesis of the Adaptive System in the Real Case
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