Ant algorithms for discrete optimization
Artificial Life
Future Generation Computer Systems
Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm
Fuzzy Sets and Systems
Review: A review of ant algorithms
Expert Systems with Applications: An International Journal
Observer-based fuzzy adaptive control for strict-feedback nonlinear systems
Fuzzy Sets and Systems
A new hybrid ant colony optimization algorithm for the vehicle routing problem
Pattern Recognition Letters
Tuning fuzzy PID controllers using ant colony optimization
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Fuzzy adaptive control for the actuators position control and modeling of an expert system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Ant colony optimization algorithm with mutation mechanism and its applications
Expert Systems with Applications: An International Journal
Designing fuzzy-rule-based systems using continuous ant-colony optimization
IEEE Transactions on Fuzzy Systems
Fuzzy logic combining controller design for chaos control of a rod-type plasma torch system
Expert Systems with Applications: An International Journal
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy control for linear plants with uncertain output backlashes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive fuzzy sliding mode controller for linear systems with mismatched time-varying uncertainties
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
Expert Systems with Applications: An International Journal
Robust observer-based output feedback control for fuzzy descriptor systems
Expert Systems with Applications: An International Journal
Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper mainly addresses the balance control of a ball and beam system, where a pair of decoupled fuzzy sliding-mode controllers (DFSMCs) are proposed. The DFSMC has the advantage of reducing the design complexity, in which the coupling dynamics of the state-error dynamics are considered as disturbance terms. Stability analysis of the ball and beam system with DFSMCs is also discussed in detail. To further improve the control performance, an improved ant colony optimization (ACO) is proposed to optimize the controller parameters. The proposed ACO algorithm has the enhanced capability of fuzzy pheromone updating and adaptive parameter tuning. The proposed ACO-optimized scheme is utilized to tune the parameters of the fuzzy sliding-mode controllers for a real ball-and-beam system. Compared to some conventional ACO algorithms, simulation and experimental results all indicate that the proposed scheme can provide better performance in the aspect of convergence rate and accuracy.