By Han-Xiong Li,Chenkun Qi
ISBN-10: 9400707401
ISBN-13: 9789400707405
ISBN-10: 9401782547
ISBN-13: 9789401782548
The function of this quantity is to supply a quick evaluation of the former paintings on version relief and identifi cation of dispensed parameter structures (DPS), and increase new spatio-temporal types and their appropriate identifi cation approaches.
In this booklet, a scientific evaluate and classifi cation at the modeling of DPS is gifted fi rst, which include version aid, parameter estimation and method identifi cation. subsequent, a category of block-oriented nonlinear structures in conventional lumped parameter structures (LPS) is prolonged to DPS, which leads to the spatio-temporal Wiener and Hammerstein structures and their identifi cation equipment. Then, the conventional Volterra version is prolonged to DPS, which ends up in the spatio-temporal Volterra version and its id set of rules. most of these equipment are in response to linear time/space separation. occasionally, the nonlinear time/space separation can play a greater position in modeling of very complicated processes.
Thus, a nonlinear time/space separation dependent neural modeling can be offered for a category of DPS with extra complex dynamics. eventually, a lot of these modeling techniques are effectively utilized to business thermal procedures, together with a catalytic rod, a packed-bed reactor and a snap curing oven. The paintings is gifted giving a unifi ed view from time/space separation. The booklet additionally illustrates functions to thermal approaches within the electronics packaging and chemical undefined. This quantity assumes a simple wisdom approximately allotted parameter platforms, procedure modeling and identifi cation. it's meant for researchers, graduate scholars and engineers drawn to allotted parameter structures, nonlinear structures, and procedure modeling and control.
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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach: 50 (Intelligent Systems, Control and Automation: Science and Engineering) by Han-Xiong Li,Chenkun Qi
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