000 04265nam a22005415i 4500
001 978-1-4471-2224-1
003 DE-He213
005 20170628033620.0
007 cr nn 008mamaa
008 111025s2012 xxk| s |||| 0|eng d
020 _a9781447122241
_9978-1-4471-2224-1
024 7 _a10.1007/978-1-4471-2224-1
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aZhang, Chunlei.
_eauthor.
245 1 0 _aExtremum-Seeking Control and Applications
_h[electronic resource] :
_bA Numerical Optimization-Based Approach /
_cby Chunlei Zhang, Raúl Ordóñez.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
300 _aXVIII, 203p. 87 illus., 73 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 _aPart I: Theory -- Introduction -- Design of Extremum-seeking Control -- Finite-time State Regulator Design.-Asymptotic State Regulator Design -- Part II: Applications -- Antilock Braking systems -- Swarm Tracking -- Impedance Matching -- Mobile Radar Network -- Appendix: Construction of Reference Signal.
520 _aExtremum seeking control tracks a varying maximum or minimum in a performance function such as a cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis. Extremum Seeking Control and Applications is divided into two parts. In the first, the authors review existing analog optimization based extremum seeking control including gradient, perturbation and sliding mode based control designs. They then propose a novel numerical optimization based extremum seeking control based on optimization algorithms and state regulation. This control design is developed for simple linear time-invariant systems and then extended for a class of feedback linearizable nonlinear systems. The two main optimization algorithms – line search and trust region methods – are analyzed for robustness. Finite-time and asymptotic state regulators are put forward for linear and nonlinear systems respectively. Further design flexibility is achieved using the robustness results of the optimization algorithms and the asymptotic state regulator by which existing nonlinear adaptive control techniques can be introduced for robust design. The approach used is easier to implement than those that use perturbation based extremum seeking control, and tends to display a high level of robustness. The second part of the book deals with a variety of applications of extremum seeking control: ·         a comparative study of extremum seeking control schemes in antilock braking system design; ·         impedance matching; ·         source seeking, formation control, collision and obstacle avoidance for groups of autonomous agents; and ·         mobile radar networks. Extremum Seeking Control and Applications will interest academics and graduate students working in control, and industrial practitioners from a variety of backgrounds: systems, automotive, aerospace, communications, semiconductor and chemical engineering.
650 0 _aEngineering.
650 0 _aMathematical optimization.
650 0 _aAstronautics.
650 0 _aTelecommunication.
650 0 _aProduction of electric energy or power.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
650 2 4 _aAutomotive Engineering.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aAerospace Technology and Astronautics.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
700 1 _aOrdóñez, Raúl.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447122234
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2224-1
912 _aZDB-2-ENG
999 _c16026
_d16026