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008 130725s2013 fluad ob 001 0 eng d
020 _a9781315215914
035 _a(OCoLC)847225855
040 _aFlBoTFG
_cFlBoTFG
082 _a003.83
_bS211
090 _aQA402.35
_b.S36 2013
100 1 _aSanchez, Edgar N. and Ornelas-Tellez, Fernando.
245 1 0 _aDiscrete-Time Inverse Optimal Control for Nonlinear Systems
260 _aBoca Raton :
_bCRC Press,
_cc2013.
300 _a268 p. :
_b10 Color & 70 B/W ill.
490 1 _aSystem of systems engineering series
504 _aIncludes bibliographical references (p. 203-219) and index.
505 0 _ach. 1. Introduction -- ch. 2. Mathematical preliminaries -- ch. 3. Inverse optimal control : a passivity approach -- ch. 4. Inverse optimal control : a CLF approach, part I -- ch. 5. Inverse optimal control : a CLF approach, part II -- ch. 6. Neural inverse optimal control -- ch. 7. Glycemic control of type 1 diabetes mellitus patients -- ch. 8. Conclusions.
520 _aThis book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems--
_cProvided by publisher.
530 _aAlso available in print edition.
538 _aMode of access: World Wide Web.
650 0 _aNonlinear control theory.
650 0 _aNeural networks (Computer science)
650 0 _aDiscrete-time systems.
650 0 _aKalman filtering.
655 7 _aElectronic books.
_2lcsh
776 1 _z9781466580879 (hardback : acid-free paper)
830 0 _aSystem of systems engineering series.
856 4 0 _uhttp://marc.crcnetbase.com/isbn/9781466580886
_qebook
942 _2ddc
_cEBK
999 _c1113
_d1113