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Titlebook: Control Systems Design; A New Framework Vladimir Zakian Book 2005 Springer-Verlag London 2005 Control Systems.algorithms.control.control en

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31#
發(fā)表于 2025-3-27 00:59:39 | 只看該作者
Design of Multivariable Industrial Control Systems by the Method of Inequalities columns, a turbofan engine and power systems. It is shown that desired performance and stipulated constraints can be expressed in terms of a conjunction of inequalities, any solution of which gives an acceptable design. The method of inequalities is consistently shown to give an efficient solution
32#
發(fā)表于 2025-3-27 04:48:47 | 只看該作者
33#
發(fā)表于 2025-3-27 07:38:17 | 只看該作者
A MoI Based on ?∞ Theory — with a Case Studynce. Furthermore, the method is applicable to multivariable systems. However, specifications for control system designs are rarely expressed explicitly in terms of the ?.-norm. Thus it is often not clear how to choose the weighting functions required in ?.-based design in order to meet the specifica
34#
發(fā)表于 2025-3-27 10:58:23 | 只看該作者
35#
發(fā)表于 2025-3-27 17:38:11 | 只看該作者
36#
發(fā)表于 2025-3-27 20:38:32 | 只看該作者
37#
發(fā)表于 2025-3-28 00:38:05 | 只看該作者
Two Studies of Robust Matchingty truck. For the recycle system, a combination of design criteria for vague infinitedimensional plants together with a special compensator for plants with recycle, is exploited to design a controller for a plant with recycle when the parameters of the process in the recycle path are subject to vari
38#
發(fā)表于 2025-3-28 02:45:38 | 只看該作者
https://doi.org/10.1007/978-3-642-99387-9ivariable control systems. The performance functions are individual eigenvalue sensitivity functions and the system robustness functions. Based on those performance functions above, the performance criteria for each multi-objective scheme are expressed by a set of inequalities. Some examples demonst
39#
發(fā)表于 2025-3-28 07:06:16 | 只看該作者
Multi-objective Control using the Principle of Inequalitiesivariable control systems. The performance functions are individual eigenvalue sensitivity functions and the system robustness functions. Based on those performance functions above, the performance criteria for each multi-objective scheme are expressed by a set of inequalities. Some examples demonst
40#
發(fā)表于 2025-3-28 13:55:14 | 只看該作者
ta control system; ..- search methods including search with simulated annealing, genetic algorithms and evaluation of the node array method; ..- case studies, including applications in distillation, benchmarking critical control of magnetic levitation systems and the use of the principle of matching in cruise control..978-1-84628-215-7
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