000			02956nam a2200313za04500
001			17823
008			050703s2011 ne eng d
020			_a9789400707412 99789400707412
082			_a003.3 _b223
100			_aLi, Han-Xiong. _eauthor. _935872
245			_aSpatio-Temporal Modeling of Nonlinear Distributed Parameter Systems _h[electronic resource]: _bA Time/Space Separation Based Approach / _cby Han-Xiong Li, Chenkun Qi.
300			_aXVIII, 178p. 107 illus. _bonline resource.
490			_aIntelligent Systems Control and Automation: Science and Engineering;
490			_v-50
520			_aThe purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches. In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes. Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control.
650			_923197 _aMATHEMATICS
650			_923197 _aMATHEMATICS
650			_aControl. _924383
650			_934086 _aCHEMICAL ENGINEERING
650			_933808 _aINDUSTRIAL CHEMISTRY, CHEMICAL ENGINEERING
650			_933950 _aCOMPUTER SIMULATION
650			_933916 _aSIMULATION AND MODELING
650			_934031 _aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS
700			_aQi, Chenkun. _935873
700			_eauthor. _935874
710			_aSpringerLink (Online service) _9111
856			_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-94-007-0741-2 _yir a documento _qURL
942			_2ddc _cCF
999			_c14445 _d14445