I-P controller design for quadruple-tank system

Numsomran, A.; Suksri, Tianchai; Kongratana, V.; Trisuwannawat, Thanit; Tirasesth, T.

doi:10.1109/tencon.2004.1414972

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Effective control of this system has been one of the major challenges for the researchers in the field of control systems. Several control methods have been introduced and tested on this system, among which we find: Decentralized Proportional Integral (PI) Control [13][14][15], Feedback Relay Auto-Tuning PID Control [16], Linear Quadratic Optimal Control [17], Nonlinear Model Predictive Control [18], Model Predictive Control Based on Quadratic Cost Function [19], Neural Model Predictive Control [20], Quantitative Feedback Method [21].…”

Section: A Plant Descriptionmentioning

confidence: 99%

Adaptive fuzzy multivariable controller design based on the Lyapunov scheme

Pourmohammad

Yazdizadeh

2008

2008 IEEE Conference on Cybernetics and Intelligent Systems

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In this paper a new approach to the design of multivariable adaptive-fuzzy controllers is proposed. The approach is based on fuzzy Lyapunov synthesis, that is an extension of the classical Lyapunov synthesis in the domain of computing with words. The closed-loop system is monitored and the parameters of the controller are adapted in order to minimizing the error between the actual and the desired states of the system. Stability of the closed-loop system is shown by the Lyapunov function which is used in the design stage. The performance of the proposed method is evaluated by applying it to a quadruple-tank process as a case study.

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Section: A Plant Descriptionmentioning

confidence: 99%

Adaptive fuzzy multivariable controller design based on the Lyapunov scheme

Pourmohammad

Yazdizadeh

2008

2008 IEEE Conference on Cybernetics and Intelligent Systems

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“…The investigation of this system has also yielded plenty of conference and journal papers. A number of these reports, for instance (Alavi and Hayes, 2006;Alavi et al, 2005;Gatzke et al, 2002;Johansson, 2000;Johansson et al, 1999;Johansson and Nunes, 1998;Numsomran et al, 2004;Rusli et al, 2002) are, however, based on erroneous mathematical modelling and thus resulting incorrect results. Obviously all these reports refer to the one and same paper (Johansson, 2000) which includes this incorrect part of modelling.…”

Section: Introductionmentioning

confidence: 99%