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Adaptive predictive functional control of a class of nonlinear systems

ISA TRANSACTIONS 2006年第2期45卷 175-183页

作者： Zhang, B Zhang, WD Shanghai Jiao Tong Univ Dept Automat Shanghai 200030 Peoples R China

This paper describes the use of pseudo-partial derivative (PPD) to dynamically linearize a nonlinear system, and aggregation is applied to the predicted PPD, resulting in a model-free adaptive predictive control algorithm for a nonlinear system. The algorithm design is only based on the PPD derived online from the input/output data of the controlled process, however it does provide bounded input/output sequence and setpoint tracking without steady-state error. A detailed discussion on parameter selection is also provided. To show the capability of the algorithm, simulations of a time-delay plant and a pH neutralization process show that the proposed method is effective for system parameter perturbation and external disturbance rejection. (c) 2006 ISA-The Instrumentation, Systems, and Automation Society.

关键词： predictive functional control nonlinear system aggregation dynamic linearization base functions

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Adaptive predictive functional control applied as an AQM controller in TCP/IP networks

Adaptive predictive functional control applied as an AQM con...

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10th World Multi-Conference on Systemics, Cybernetics and Informatics/12th International Conference on Information Systems Analysis and Synthesis

作者： Bigdeli, Nooshin Haeri, Mohammad Sharif Univ Technol Dept Elect Engn Adv Control Syst Lab Tehran Iran

ISBN: (纸本)9789806560703

predictive functional control (PFC) as a new AQM strategy for dynamically varying TCP/AQM networks is introduced. The inherent ability of dealing with system transmission delay makes PFC applicable for congestion control in computer networks and simple structure and algebraic control law of PFC make it more efficient then other model predictive control (MPC.) schemes. The model used here is the fluid-flow model developed by Towsley et al. Simulation results are presented to compare the out-performance of the proposed method with respect to those of PI and RED controllers as the most commonly employed AQM controllers. Besides, an indirect self tuning adaptive PFC scheme has been designed in order for achieving better queue regulation capability of the controller for both unknown and time-varying network parameters and traffic as well as in presence of unresponsive flows.

关键词： active queue management predictive functional control adaptive control TCP/AQM networks model predictive control

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Nonlinear predictive functional control based on Hopfield network and its application in CSTR

Nonlinear predictive functional control based on Hopfield ne...

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5th International Conference on Machine Learning and Cybernetics

作者： Peng Guo N China Elect Power Univ Dept Automat Beijing 102206 Peoples R China

ISBN: (纸本)1424400600

CSTR is a nonlinear chemical reactor widely used in chemical industry and can be simplified as an affine nonlinear system. Hopfield network is a neural network with rich dynamic characteristics. In this paper, affine nonlinear system is treated as black box, and is identified with Hopfield network. After obtaining the relative degree of the nonlinear system from the network, state feedback linearization method is used to transform CSTR to a one-order linear system. The state variables and Lie derivatives needed in the transform can be obtained from the Hopfield network. Finally, a PFC controller is designed to control the linear system. Simulations prove that the new method has good control performance.

关键词： Hopfield network state feedback linearization predictive functional control continuous stirred tank reactor (CSTR)

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Main Steam Temperature's Adaptive control with Kautz Model

Main Steam Temperature's Adaptive Control with Kautz Model

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8th World Congress on Intelligent control and Automation (WCICA)

作者： Xu, Mingzhu Jiang, Yiping Liu, Jinzhi Li, Shenshan Shijiazhuang Railway Inst Coll Mech Engn Shijiazhuang 050043 Peoples R China Hebei Inst Architectural Design & Res Co Ltd Shijiazhuang 050011 Peoples R China

ISBN: (纸本)9781424467129

The orthogonal Kautz function was used to obtain the main steam temperature system model. An adaptive predictive functional control algorithm based on incremental Kautz model is applied to main steam temperature control system. The performance index of multiple model swich is used to judge the plant change in simulation. It has shown that the proposed algorithm is effective.

关键词： Incremental Kautz model predictive functional control Mmain steam temperature

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Networked control System with Long Time Delay Based on IPFC

Networked Control System with Long Time Delay Based on IPFC

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2nd Conference on Human System Interactions

作者： Chen Zaiping Liu Chunxue Dong Enzeng Jia Chao Tianjin Univ Technol Sch Elect Engn Tianjin 300384 Peoples R China

ISBN: (纸本)9781424439591

Networked control system (NCS) is a kind of closed loop control systems where the sensors, the controller and the actuators exchange data through network. Because the networks, in which the band width is limited, are introduced in the systems, some new issues appear unavoidably. At present, the research of networked control system becomes a focus area in control engineering. According to the characteristics of NCS, incremental predictive functional control (IPFC) strategy with random long time delay in NCS is proposed in this paper. Based on the strategy proposed controller design is given, which realized the compensation of NCS time delay. Simulation experiments are carried out, and simulation results confirmed that perfect compensation effect is obtained in the long time delay NCS with the control strategy proposed in this paper.

关键词： networked control system predictive functional control network induced delay random long time delay MATLAB

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Applying robust predictive functional control to mass transmission benchmark

Applying robust predictive functional control to mass transm...

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International Conference on Computer as a Tool (EUROCON 2005)

作者： Soltanzadeh, A Haeri, M Sharif Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)142440049X

predictive functional controller originally developed based on a first order reference model. In this paper the related equation of the predictive functional control Is derived for an arbitrary reference model and then a simple approach to tune different parameters of the controller is examined by applying the controller on a benchmark problem. Finally, the robustness of the design is improved using the so called Youla parameterization approach.

关键词： predictive functional control robustness Youla parameterization

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Extension of first order predictive functional controllers to handle higher order internal models

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INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE 2008年第2期18卷 229-239页

作者： Khadir, Mohamed Tarek Ringwood, John V. Univ Badji Mokhtar Dept Comp Sci Annaba Algeria Natl Univ Ireland Dept Elect Engn Maynooth Kildare Ireland

predictive functional control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in many applications, there exists a range of process types which may present difficulties, leading to chattering and/or instability. In this paper, instability of first order PFC is addressed, and solutions to handle higher order and difficult systems are proposed. The input/output PFC formulation is extended to cover the cases of internal models with zero and/or higher order pole dynamics in an ARX/ARMAX form, via a parallel and cascaded model decomposition. Finally, a generic form of PFC, based on elementary outputs, is proposed to handle a wider range of higher order oscillatory and non-minimum phase systems. The range of solutions presented are supported by appropriate examples.

关键词： model predictive control predictive functional control non-minimum phase systems oscillatory systems

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predictive functional and Parametric predictive Cascade control Regard with Temperature control of a Reactor

Predictive Functional and Parametric Predictive Cascade Cont...

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The 12th Asian Pacific Confederation of Chemical Engineering Congress

作者： Yiming Song Xiaoxue Ma School of Chemical Engineering,Northwest University,Xi'an 710069,China

An advanced control concept,namely predictive functional control(PFC)and parametric predictive control(PPC)technique,is applied to temperature control of a reactor *** to the complexity of the investigated heat transfer process the so called black-box models are de- veloped,which server as mathematical models to design the controller and to describe the dynami- cal property of the investigated process in the simulation *** fundamental philosophies of

关键词： predictive functional control parametric predictive control cascade temperature control aspen custom modeller dynamic simulation

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Time-stamped predictive functional control for networked control systems with random delays

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Journal of Southeast University(English Edition) 2005年第2期21卷 149-152页

作者：张奇智张卫东上海交通大学自动化系上海200030

The random delays in a networked control system (NCS) degrade control performance and can even destabilize the control *** deal with this problem,the time-stamped predictive functional control (PFC) algorithm is proposed,which generalizes the standard PFC algorithm to networked control systems with random *** algorithm uses the time-stamp method to estimate the control delay,predicts the future outputs based on a discrete time delay state space model,and drives the control law that applies to an NCS from the idea of a PFC algorithm.A networked control system was constructed based on TrueTime simulator,with which the time-stamped PFC algorithm was compared with the standard PFC *** response curves show that the proposed algorithm has better control performance.

关键词： networked control systems random delays predictive functional control industrial Ethernet

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ADAPTIVE predictive functional control OF A CLASS OF NONLINEAR SYSTEMS BASED ON DYNAMICAL LINEARIZATION

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IFAC Proceedings Volumes 2005年第1期38卷 1166-1170页

作者： ZHANG Bin ZHANG Wei-dong Department of Automation Shanghai Jiaotong University Shanghai 200030 China

This paper employs a concept of partial derivative called Pseudo-Partial-Derivative (PPD) to dynamically linearize nonlinear system, and the aggregation method is applied to deal with the future predictive PPD, then adaptive predictive functional control algorithm of nonlinear system is presented. The design demands low requirement for the model, which is based directly on PPD derived online from the input output data, and the given algorithm can also provide the bounded input output sequence and track setpoint without steady-state error. Simulations for the time-delay process and the pH neutralization experiment of the chemical reaction process show that the proposed method is efficient for the system parameters perturbation and external disturbance.

关键词： predictive functional control nonlinear system aggregation dynamic linearization pseudo-partial-derivative

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