Robust control design with MATLAB
Robust control design with MATLAB
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DOI：
10.1007/b135806
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
D. Gu;P. Petkov;M. Konstantinov
中科院分区：
文献类型：
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作者：
D. Gu;P. Petkov;M. Konstantinov
鲁棒性在控制系统设计中往往是至关重要的。实际工程系统容易受到外界干扰和测量噪声的影响，设计时使用的数学模型与实际系统往往存在差异。鲁棒控制设计与MATLAB®帮助您学习如何在实际情况下使用先进的鲁棒控制设计方法。为此，几个现实的控制设计例子，从教学实验室实验，如质量阻尼器-弹簧总成，到复杂的系统，如柔性连杆机械手，给出了详细的介绍。所有的设计练习都是使用MATLAB®鲁棒控制工具箱、控制系统工具箱和Simulink®进行的。通过分享他们在工业案例中的经验，最小限度地求助于复杂的理论和公式，作者传达了基本的想法和有用的见解，强大的工业控制系统设计使用主要的h -∞优化和相关的方法，让您快速移动与自己的挑战。特点：动手，教程演示，让您有机会重复所呈现的设计，并轻松地修改它们为您自己的程序。大量的例子说明了健壮设计中最重要的步骤。鲁棒控制设计与MATLAB®是为研究生和执业工程师谁想要学习如何处理鲁棒控制设计问题，而不花费大量时间在研究复杂的理论发展。目前的演示是MATLAB®版本7.01，鲁棒控制工具箱版本3.0，控制系统工具箱版本6.1和Simulink®版本6.1。
Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. Features: Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. An abundance of examples illustrating the most important steps in robust design. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLAB® version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink® version 6.1.