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Fuzzy Controller Design by Ant Colony Optimization

Chia-Feng Juang, Hao-Jung Huang, Chun-Ming Lu
2007 IEEE International Fuzzy Systems conference proceedings  
An Ant Colony Optimization (ACO) application to a fuzzy controller design, called ACO-FC, is proposed in this paper for improving design efficiency.  ...  A fuzzy controller's antecedent part, i.e., the "if' part of its composing fuzzy if-then rules, is partitioned in grid-type, and all candidate rule consequent values are then listed.  ...  In contrast to evolutionary algorithms, a new swarm intelligence optimization technique, the Ant Colony Optimization (ACO) [4] - [6] , inspired by real ant colony observations, has recently been proposed  ... 
doi:10.1109/fuzzy.2007.4295335 dblp:conf/fuzzIEEE/JuangHL07 fatcat:34umbicdqna3tgxfrt7zt3b6sa

Fuzzy Controller Design by Clustering-Aided Ant Colony Optimization

Chia-Feng Juang, Yu-Ping Kang, Chiang Lo
2008 IFAC Proceedings Volumes  
This paper proposes a Clustering-aided Ant Colony Optimization (ACO) algorithm (CACO) for fuzzy controller design.  ...  The objective of CACO is to improve both the design efficiency of a fuzzy controllers and its performance.  ...  CONCLUSIONS This paper proposes exploits the ant colony optimization algorithm and on-line fuzzy clustering for fuzzy controller design.  ... 
doi:10.3182/20080706-5-kr-1001.02082 fatcat:t6cxyyhx3fdkrnm2ile6aht3gq


Jingzhuo Shi, Juanping Zhao, Zhe Cao, Yunpeng Liang, Lan Yuan, Bin Sun
2014 International Journal on Smart Sensing and Intelligent Systems  
Rules of the fuzzy controller are optimized offline using ant colony optimization, and the appropriate parameters of fuzzy controller are also ascertained during the process of optimization.  ...  In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy controller.  ...  According to control experience, after the initial design of fuzzy control, the designed fuzzy controller is optimized through simulation by using the ant colony algorithm and dynamic T-S fuzzy model to  ... 
doi:10.21307/ijssis-2017-657 fatcat:mjeisok2cvac5gnf7ahgu6wfyy

An ant colony optimization-based fuzzy predictive control approach for nonlinear processes

S. Bououden, M. Chadli, H.R. Karimi
2015 Information Sciences  
In this paper, a new approach for designing an adaptive fuzzy model predictive control (AFMPC) based on the ant colony optimization (ACO) is proposed.  ...  The utility of the proposed controller is demonstrated by applying it to two nonlinear processes, where the proposed approach provides better performances compared with proportional integral-ant colony  ...  a b s t r a c t In this paper, a new approach for designing an adaptive fuzzy model predictive control (AFMPC) based on the ant colony optimization (ACO) is proposed.  ... 
doi:10.1016/j.ins.2014.11.050 fatcat:32ad4uavsjcm5i4dqlyqcbgiky

Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization [chapter]

Hadi Nobahari, Seid H. Pourtakdoust
2005 Lecture Notes in Computer Science  
In this regard, the lately developed continuous ant colony system is used to optimize the parameters of a pre-constructed fuzzy sliding mode controller.  ...  The well-known ant colony optimization meta-heuristic is applied to design a new command to line-of-sight guidance law.  ...  Ant Colony Optimization Ant algorithms were inspired by the observation of real ant colonies.  ... 
doi:10.1007/11571155_10 fatcat:dkb55ronz5bbjdquwtiekfox4q

Information Technology for Designing Rule bases of Fuzzy Systems using Ant Colony Optimization

Oleksiy Kozlov
2021 International Scientific Journal of Computing  
This paper proposes the universal information technology for designing the rule bases (RB) with the formation of optimal consequents for fuzzy systems (FS) of different types on the basis of ant colony  ...  Thus, application of the proposed ACO-based information technology allows designing effective RB with optimal consequents by means of minor computational costs that, in turn, confirms its high efficiency  ...  ACO-BASED INFORMATION TECHNOLOGY FOR DESIGNING RULE BASES The methods of ant colony optimization are based on modeling the social behavior of ants, that belong to one large colony, in the process of the  ... 
doi:10.47839/ijc.20.4.2434 fatcat:qaczvm3nd5et7p7g24iseuxe6e

Enhanced Ant Colony Optimization with Dynamic Mutation and Ad Hoc Initialization for Improving the Design of TSK-Type Fuzzy System

Chi-Chung Chen, Yi-Ting Liu
2018 Computational Intelligence and Neuroscience  
This paper proposes an enhanced ant colony optimization with dynamic mutation and ad hoc initialization, ACODM-I, for improving the accuracy of Takagi-Sugeno-Kang- (TSK-) type fuzzy systems design.  ...  the accuracy of fuzzy system design.  ...  Acknowledgments This work was supported by Ministry of Science and Technology, Taiwan, under Grant MOST 105-2221-E-415-018.  ... 
doi:10.1155/2018/9485478 pmid:29568311 pmcid:PMC5820572 fatcat:2tf6prxenzevxlm4y4fox22ryu

Chaotic Ant Swarm Designed T-S Fuzzy System for Adaptive Control of Dynamical Systems

Lixiang Li, Haipeng Peng, Yixian Yang
2008 NeuroQuantology  
The chaotic ant swarm (CAS) algorithm is inspired by the chaotic and selforganization behavior of ants. It belongs to the categories of chaos optimization methods and swarm intelligence approaches.  ...  The design of the fuzzy system is comprised of the extraction of "if-then" rules that is followed by the identification of their parameters.  ...  Acknowledgment This work is supported by the National Natural Science  ... 
doi:10.14704/nq.2008.6.4.193 fatcat:iioqomswrrctjmaiqboxgtgz4e

Recurrent fuzzy system design using elite-guided continuous ant colony optimization

Chia-Feng Juang, Po-Han Chang
2011 Applied Soft Computing  
This paper proposes recurrent fuzzy system design using elite-guided continuous ant colony optimization (ECACO).  ...  The ECACO performance is also compared with other continuous ant colony optimization, particle swarm optimization, and genetic algorithms in these simulations.  ...  The use of a new meta-heuristic, ant colony optimization (ACO), for solving optimization problems has been proposed recently [19] . The ACO technique is inspired by real ant colony observations.  ... 
doi:10.1016/j.asoc.2010.11.001 fatcat:bkctpod57zgtlh26zcbzhlgwgu

Combination of Particle Swarm and Ant Colony Optimization Algorithms for Fuzzy Systems Design [chapter]

Chia-Feng Juang
2010 Fuzzy Systems  
Swarm and Ant Colony Optimization Algorithms for Fuzzy Systems Design 199 in Section 2.  ...  In the inference engine, the fuzzy AND operation is implemented by the algebraic product in Combination of Particle Swarm and Ant Colony Optimization Algorithms for Fuzzy Systems Design  ... 
doi:10.5772/7226 fatcat:zmtlyd4ldnc4pogjgl4hhjt3tm

A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot

Oscar Castillo, Héctor Neyoy, José Soria, Patricia Melin, Fevrier Valdez
2015 Applied Soft Computing  
The present paper explores a new fuzzy approach for diversity control in Ant Colony Optimization.  ...  Ant Colony Optimization is a population-based meta-heuristic that exploits a form of past performance memory that is inspired by the foraging behavior of real ants.  ...  Introduction Ant Colony Optimization (ACO) is inspired by the foraging behavior of ant colonies, and is aimed at solving discrete optimization problems [8] .  ... 
doi:10.1016/j.asoc.2014.12.002 fatcat:srq2mtmo2zaszfvvwvjahgn7m4

Improvement of Power Quality Using Optimized Non-Linear SAPF Controller

P.M. Balasubram, G. Gurusamy .
2011 International Journal of Soft Computing  
To efficiently operate the system, Ant Colony Algorithm (ACA) optimizes this fuzzy logic controller.  ...  (SAPF) by tuned to an optimized value.  ...  Simulation Results: The optimized non-linear controller designed by ant colony algorithm of dc capacitor voltage is set in the MATLAP environment and predict proposed method performance.  ... 
doi:10.3923/ijscomp.2011.183.189 fatcat:hl2dclkuyff6zbkgkojlqzpefq

An AND-OR Fuzzy Neural Network [chapter]

Jianghua Sui
2011 Ant Colony Optimization - Methods and Applications  
The piecewise optimization of AND-OR FNN consists two phases, first the blueprint of network is reduced by GA and PA; the second phase, the parameters are refined by ACS (Ant Colony System).  ...  Finally this approach is applied to design AND-OR FNN ship controller. Simulating results show the performance is much better than ordinary fuzzy controller.  ...  genetic optimization, pruning algorithm and ant colony system.  ... 
doi:10.5772/16224 fatcat:f7l2s2ewrjdpdbo5lguagfvrnq

Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control

Fevrier Valdez, Juan Carlos Vazquez, Fernando Gaxiola
2018 Advances in Fuzzy Systems  
In the case of ACO, two fuzzy systems are designed for the Ant Colony System (ACS) algorithm variant.  ...  A novel approach applied to Particle Swarm Optimization (PSO) and Ant Colony Optimization is presented.  ...  Water Level Control in a Tank. In this paper, the design of fuzzy logic control (FLC) is performed using Ant Colony System.  ... 
doi:10.1155/2018/1274969 fatcat:rl2soep745dtzbto6pqg3tbpkq

Design and Implementation of a Fuzzy Logic Controller for Inverted Pendulum System Based on Evolutionary Optimization Algorithms

Ahmed F. Ghalib, Ahmed A. Oglah
2020 Engineering and Technology Journal  
like a genetic algorithm (GA), ant colony optimization (ACO), and social spider optimization (SSO.)  ...  In this search paper, the fuzzy-like PID (FPID) controller has been used to control the inverted pendulum, and the parameters of the controller are tuned with several evolutionary optimization algorithms  ...  Ant Colony Optimization (ACO) The ant colony optimization (ACO) algorithm inspired by the food searching behavior of ants [22] .  ... 
doi:10.30684/etj.v38i3a.400 fatcat:6dbrj42ci5c3zjhtdckmbjv5je
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