Feedback Control Of Dynamic Systems 5th Edition |
Feedback Control Of Dynamic Systems 5th Edition |
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2022
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控制理论的思想，如反馈，稳定性，噪声和干扰衰减，以及鲁棒性，有必要有一个文本来解释反馈控制，因为它适用于生物系统。由控制工程和系统生物学的知名研究人员撰写，系统生物学中的反馈控制解释了如何将反馈控制概念应用于系统生物学。填补了系统生物学家对控制理论的文本需求，它提供了控制工程的相关思想和方法的概述，并说明了它们在细胞和分子生物学案例研究中对生物系统分析的应用。本书侧重于用于分析生物控制系统中反馈效果的基本概念，而不是构成大多数控制教科书核心的控制系统设计方法。此外，作者并不假设读者熟悉控制理论。他们专注于“控制应用”，如代谢和基因调控网络，而不是飞机、机器人或发动机，以及从经典反应动力学而不是经典力学推导的数学模型。本书的另一个重要特点是它讨论了非线性系统，由于生物系统的高度非线性性质，对系统生物学家来说，理解非线性系统是至关重要的。作者涵盖了线性和非线性系统分析的工具和技术；负反馈和正反馈；稳健性分析方法；生物相互作用网络的逆向工程技术以及随机生物控制系统的分析。他们还确定了受生物系统动态特性启发的控制理论的新研究方向。本文为研究人员提供了一个有价值的参考，为科学家进入这个迷人而迅速发展的领域提供了一个良好的起点。
control-theoretic ideas such as feedback, stability, noise and disturbance attenuation, and robustness, there is a need for a text that explains feedback control as it applies to biological systems. Written by established researchers in both control engineering and systems biology, Feedback Control in Systems Biology explains how feedback control concepts can be applied to systems biology. Filling the need for a text on control theory for systems biologists, it provides an overview of relevant ideas and methods from control engineering and illustrates their application to the analysis of biological systems with case studies in cellular and molecular biology. Control Theory for Systems Biologists The book focuses on the fundamental concepts used to analyze the effects of feedback in biological control systems, rather than the control system design methods that form the core of most control textbooks. In addition, the authors do not assume that readers are familiar with control theory. They focus on "control applications" such as metabolic and gene-regulatory networks rather than aircraft, robots, or engines, and on mathematical models derived from classical reaction kinetics rather than classical mechanics. Another significant feature of the book is that it discusses nonlinear systems, an understanding of which is crucial for systems biologists because of the highly nonlinear nature of biological systems. The authors cover tools and techniques for the analysis of linear and nonlinear systems; negative and positive feedback; robustness analysis methods; techniques for the reverse-engineering of biological interaction networks; and the analysis of stochastic biological control systems. They also identify new research directions for control theory inspired by the dynamic characteristics of biological systems. A valuable reference for researchers, this text offers a sound starting point for scientists entering this fascinating and rapidly developing field.