Recursive prediction error identification using the nonlinear Wiener model
Automatica (Journal of IFAC) - Special section on fault detection, supervision and safety for technical processes
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Computer Controlled Systems: Theory and Design
Computer Controlled Systems: Theory and Design
Journal of Global Optimization
A multi-crossover genetic approach to multivariable PID controllers tuning
Expert Systems with Applications: An International Journal
EP-based PID control design for chaotic synchronization with application in secure communication
Expert Systems with Applications: An International Journal
Evolutionary selection of model for time constrained decision problems: A GA approach
Expert Systems with Applications: An International Journal
Review: Expert systems and evolutionary computing for financial investing: A review
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Financial time series prediction using polynomial pipelined neural networks
Expert Systems with Applications: An International Journal
Parameter identification of chaotic systems using evolutionary programming approach
Expert Systems with Applications: An International Journal
The hierarchical expert tuning of PID controllers using tools ofsoft computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Optimal approximation of linear systems by a differential evolution algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Stable auto-tuning of adaptive fuzzy/neural controllers for nonlinear discrete-time systems
IEEE Transactions on Fuzzy Systems
A hybrid linear/nonlinear training algorithm for feedforward neural networks
IEEE Transactions on Neural Networks
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
Short communication: Model free adaptive control with data dropouts
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Journal of Control Science and Engineering
Simple model-free controller for the stabilization of planetary inverted pendulum
Journal of Control Science and Engineering
Hi-index | 12.07 |
It is well-known that conventional control theories are widely suited for applications where the processes can be reasonably described in advance. However, when the plant's dynamics are hard to characterize precisely or are subject to environmental uncertainties, one may encounter difficulties in applying the conventional controller design methodologies. In this case, an alternative design is a model-free learning adaptive control (MFLAC), based on pseudo-gradient concepts with compensation using a radial basis function neural network and optimization approach with differential evolution technique presented in this paper. Motivation for developing a new approach is to overcome the limitation of the conventional MFLAC design, which cannot guarantee satisfactory control performance when the nonlinear process has different gains for the operational range. Robustness of the MFLAC with evolutionary-neural compensation scheme is compared to the MFLAC without compensation. Simulation results for a nonlinear chemical reactor and nonlinear control valve are given to show the advantages of the proposed evolutionary-neural compensator for MFLAC design.