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Proceedings ArticleDOI

Time-varying modifying factor fuzzy controller based on an exact fast simulated annealing

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TLDR
The exact fast simulated annealing improved by us is applied to optimize the fuzzy controller automatically and the self-optimizing fuzzy system made by the two methods shows fine performances in simulating experiments.
Abstract
By continuing the control surfaces of the time-varying modifying factor analytic expression method, a new algorithm is constructed to improve the properties of the fuzzy controller obviously. The algorithm has two merits: (a) Static error is erased by fuzzy method (b) operation speed is fast. The excellent quality control and rapid response real time system can be realized together. Furthermore, the exact fast simulated annealing improved by us is applied to optimize the fuzzy controller automatically. The self-optimizing fuzzy system made by the two methods shows fine performances in simulating experiments.

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References
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Journal ArticleDOI

Equation of state calculations by fast computing machines

TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Journal ArticleDOI

Fuzzy self-tuning of PID controllers

TL;DR: A comparative simulation study on various processes shows that the performance of the new scheme improves considerably, in terms of set-point and load disturbance responses, over the PID controllers well-tuned using both the classical Ziegler-Nichols formula and the more recent Refined Ziegle Nicholas formula.
Journal ArticleDOI

Adaptive hierarchical fuzzy controller

G.V.S. Raju, +1 more
TL;DR: A methodology for designing adaptive hierarchical fuzzy controllers is presented and a supervisory fuzzy rule set was constructed and used to change the parameters of a hierarchical fuzzy controller to accommodate the variations of system parameters.
Journal ArticleDOI

A rule self-regulating fuzzy controller

TL;DR: The authors use a simplified fuzzy control algorithm which allows fuzzy control rules to be regulated on line, thus constructing a Rule Self- Regulating Fuzzy Controller (RSFC).
Journal ArticleDOI

Control of dynamical processes using an on-line rule-adaptive fuzzy control system

TL;DR: A detailed discussion on the design of a rule-adaptive fuzzy control system, along with simulation analysis demonstrating its usefulness in controlling plants of various dynamical natures, and proposes the second updating rule that is essentially a nonlinear differential equation.