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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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发表于 2025-3-21 18:20:50 | 显示全部楼层 |阅读模式
期刊全称ADEX Optimized Adaptive Controllers and Systems
期刊简称From Research to Ind
影响因子2023Juan M. Martín-Sánchez,José Rodellar
视频video
发行地址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
学科分类Advances in Industrial Control
图书封面Titlebook: ADEX Optimized Adaptive Controllers and Systems; From Research to Ind Juan M. Martín-Sánchez,José Rodellar Book 2015 Springer International
影响因子.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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