000 04172nam a22004815i 4500
001 978-1-4471-6257-5
003 DE-He213
005 20200421111847.0
007 cr nn 008mamaa
008 140107s2014 xxk| s |||| 0|eng d
020 _a9781447162575
_9978-1-4471-6257-5
024 7 _a10.1007/978-1-4471-6257-5
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aTsai, Mi-Ching.
_eauthor.
245 1 0 _aRobust and Optimal Control
_h[electronic resource] :
_bA Two-port Framework Approach /
_cby Mi-Ching Tsai, Da-Wei Gu.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2014.
300 _aXVI, 336 p. 223 illus., 128 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
505 0 _aTwo-port Networks -- Linear Fractional Transformations -- Chain Scattering Descriptions -- Co prime Factorizations -- Algebraic Riccati Equations and Spectral Factorizations -- CSD Approach to Stabilization Control and H2 Optimal Control -- A CSD Approach to H-infinity Controller Synthesis -- Design Examples.
520 _aA Two-port Framework for Robust and Optimal Control introduces an alternative approach to robust and optimal controller synthesis procedures for linear, time-invariant systems, based on the two-port system widespread in electrical engineering. The novel use of the two-port system in this context allows straightforward engineering-oriented solution-finding procedures to be developed, requiring no mathematics beyond linear algebra. A chain-scattering description provides a unified framework for constructing the stabilizing controller set and for synthesizing H2 optimal and H∞ sub-optimal controllers. Simple yet illustrative examples explain each step. A Two-port Framework for Robust and Optimal Control  features: �         a hands-on, tutorial-style presentation giving the reader the opportunity to repeat the designs presented and easily to modify them for their own programs; �         an abundance of examples illustrating the most important steps in robust and optimal design; and �         end-of-chapter exercises. To further demonstrate the proposed approaches, in the last chapter an application case study is presented which demonstrates the use of the framework in a real-world control system design and helps the reader quickly move on with their own challenges. MATLAB� codes used in examples throughout the book and solutions to selected exercise questions are available for download. The text will have particular resonance for researchers in control with an electrical engineering background, who wish to avoid spending excessive time in learning complex mathematical, theoretical developments but need to know how to deal with robust and optimal control synthesis problems. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. Please see [http://km.emotors.ncku.edu.tw/class/hw1.html] for solutions to the exercises provided in this book.
650 0 _aEngineering.
650 0 _aControl engineering.
650 0 _aElectronic circuits.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aCircuits and Systems.
700 1 _aGu, Da-Wei.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447162568
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-6257-5
912 _aZDB-2-ENG
942 _cEBK
999 _c55910
_d55910