Modeling and control of Wiener-type processes

Sung, Su Whan; Lee, Jietae

doi:10.1016/j.ces.2003.10.028

Cited by 42 publications

(29 citation statements)

References 20 publications

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“…7. The material balance equations and the equilibrium equation can be derived as follows (Sung & Lee, 2004;Park & Lee, 2004):…”

Section: Parameters Of Static Nonlinear Functionmentioning

confidence: 99%

“…Then, the amplitude of the input signal is increased, and the linear dynamic subsystem output, together with the measured output signal, are used for the identification of static nonlinear function. Sung and Lee (2004) proposed a modified relay feedback method to identify Wiener model. When the process output is cyclic activated by a modified relay feedback signal, the fundamental term of relay output is sinusoidal and the high harmonic terms can be neglected.…”

Section: Introductionmentioning

confidence: 99%

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Identification of Wiener model using step signals and particle swarm optimization

Tang

Qiao

Guan

2010

Expert Systems with Applications

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“…7. The material balance equations and the equilibrium equation can be derived as follows (Sung & Lee, 2004;Park & Lee, 2004):…”

Section: Parameters Of Static Nonlinear Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of Wiener model using step signals and particle swarm optimization

Tang

Qiao

Guan

2010

Expert Systems with Applications

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“…On the other hand, various relay feedback methods have been proposed and applied to various purposes since the original relay feedback method was proposed [16][17][18][19][20][21][22][23][24][25][26]. But, all the previous approaches cannot manipulate output nonlinearities and static disturbances simultaneously.…”

Section: Introductionmentioning

confidence: 98%

Improved system identification method for Hammerstein-Wiener processes

Sung

Lee

et al. 2008

Korean J. Chem. Eng.

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We propose a new system identification method for Hammerstein-Wiener processes, in which an input static nonlinear block, a linear dynamic block, and an output static nonlinear block are connected in a series. The proposed method can estimate the model parameters in a very simple way without solving the full-dimensional nonlinear optimization problem by activating the process with a specially designed test signal, composed of a relay feedback signal, a binary signal and a multi-step signal. The proposed method analytically identifies the output nonlinear static function and the input nonlinear static function from the relay signal and the multi-step signal, respectively. The linear dynamic subsystem is identified from the relay feedback signal and the binary signal with existing well-established linear system identification methods. We demonstrate with a simple example that the proposed method can be successfully applied to identify the Hammerstein-Wiener-type nonlinear process.

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“…Theory of nonlinear control (NC) can be found for example in (Astolfi et al 2008) and (Vincent and Grantham 1997), the factorization of nonlinear models of the plants on linear and nonlinear parts is described in (Nakamura et al 2002) and (Sung and Lee 2004). The controller consists of a static nonlinear part (SNP) and a dynamic linear part (DLP).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Adaptive Control Of CSTR With Spiral Cooling In The Jacket

Vojtěšek¹,

Dostál²

2012

ECMS 2012 Proceedings Edited By: K. G. Troitzsch, M. Moehring, U. Lotzmann

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The most of the processes not only in the industry has nonlinear behavior and control of such processes could be difficult. The controller here consists of linear and nonlinear part where the nonlinear part is derived from the static analysis and the linear part describes nonlinear elements in the loop by the External Linear Model (ELM), parameters of which are estimated recursively with the use of delta (δ-) models. The control synthesis employs polynomial approach with the pole assignment method. The proposed control method satisfies basic control requirements and it was tested by the simulations on the mathematical model of Continuous Stirred Tank Reactor (CSTR) with spiral cooling in the jacket as a typical member of the nonlinear system with lumped parameters.

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Modeling and control of Wiener-type processes

Cited by 42 publications

References 20 publications

Identification of Wiener model using step signals and particle swarm optimization

Identification of Wiener model using step signals and particle swarm optimization

Improved system identification method for Hammerstein-Wiener processes

Nonlinear Adaptive Control Of CSTR With Spiral Cooling In The Jacket

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