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Titlebook: Design of Observer-based Compensators; From the Time to the Peter Hippe,Joachim Deutscher Book 2009 Springer-Verlag London 2009 Decoupling.

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发表于 2025-3-21 18:11:54 | 显示全部楼层 |阅读模式
书目名称Design of Observer-based Compensators
副标题From the Time to the
编辑Peter Hippe,Joachim Deutscher
视频video
概述Shows the reader how to interconvert time- and frequency-domain representations of the same control system.The same state-space framework copes equally well with single-input, single-output and multip
图书封面Titlebook: Design of Observer-based Compensators; From the Time to the Peter Hippe,Joachim Deutscher Book 2009 Springer-Verlag London 2009 Decoupling.
描述.Design of Observer-based Compensators .facilitates and adds transparency to design in the frequency domain which is not as well-established among control engineers as time domain design. The presentation of the design procedures starts with a review of the time domain results; therefore, the book also provides quick access to state space methods for control system design...Frequency domain design of observer-based compensators of all orders is covered. The design of decoupling and disturbance rejecting controllers is presented, and solutions are given to the linear quadratic and the model matching problems. The pole assignment design is facilitated by a new parametric approach in the frequency domain. Anti-windup control is also investigated in the framework of the polynomial approach. The discrete-time results for disturbance rejection and linear quadratic control are also presented...The book contains worked examples that can easily be reproduced by the reader, and the results are illustrated by simulations..
出版日期Book 2009
关键词Decoupling; Observer-based Control; Optimal control; Polynomial Matrices; Polynomial Methods; control; con
版次1
doihttps://doi.org/10.1007/978-1-84882-537-6
isbn_softcover978-1-84996-849-2
isbn_ebook978-1-84882-537-6
copyrightSpringer-Verlag London 2009
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发表于 2025-3-21 21:47:46 | 显示全部楼层
Empirical Progress and Pseudoscienceased compensators presented in this book. It is shown that the polynomial matrix fraction description is a straightforward generalization of transfer functions to multivariable systems. Similarly to the transfer function of a SISO system, the polynomial matrix fraction description displays two impor
发表于 2025-3-22 00:52:39 | 显示全部楼层
Empirical Progress and Pseudoscienceed to stabilize the closed-loop system and to achieve further design specifications. Hence, the parameterization of state feedback controllers is an important aspect of control theory. In a system of the order . with one input . (., a single-input system), the desired eigenvalues of the closed-loop
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Chapter 3 Makers of Their Futures compensator in general. There exist additional degrees of freedom in the design that can be exploited to meet further requirements for the closedloop system. In order to allow a systematical use of this design freedom the so-called parametric approach was developed in the time domain. This design m
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https://doi.org/10.1007/978-3-319-96409-6 designing a decoupled reference transfer behaviour each output variable is affected by only one reference signal. Therefore, each input–output pair can then be controlled by a SISO controller. A precise definition of this diagonal decoupling problem using static state feedback was first given in [4
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Ryutarou Ohbuchi,Hiroshi Masudacting controllers requires additional measures. If the disturbances can be modelled by a suitable signal process (., the disturbances can be represented as the solutions of linear differential equations with constant coefficients) two approaches exist for their rejection. The first one was suggested
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D. Roller,O. Eck,B. Rieg,D. Schäferment that is best, or optimal? Whether a solution is optimal or not depends on the criterion to be minimized. A well-known and widely used method is the design of so-called . (LQR) (see, ., [4, 42]). The optimization criterion used is the integral of quadratic functions of the output (or the state)
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Leadership Based Agent Architectureer, does not assure a robust tracking in the presence of modelling errors because the reference input matrix . and the observer-based compensator depend on the parameters of the plant. Furthermore, the disturbance behaviour cannot be assigned independently from the reference behaviour since both dep
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