Recursive prediction error identification using the nonlinear Wiener model
Automatica (Journal of IFAC) - Special section on fault detection, supervision and safety for technical processes
The role of signal processing methods in the robust design of predictive control
Automatica (Journal of IFAC)
Discrete adaptive sliding-mode tracking controller
Automatica (Journal of IFAC)
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
Automatica (Journal of IFAC)
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
An Immune Algorithm for Protein Structure Prediction on Lattice Models
IEEE Transactions on Evolutionary Computation
Technical Communique: Discrete adaptive sliding-mode control of a class of stochastic systems
Automatica (Journal of IFAC)
Adaptive sliding mode control for discrete-time multi-input multi-output systems
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Hi-index | 12.05 |
Recently, the discrete variable structure controllers (VSCs) for nonlinear systems has received some attention. These VSCs are formulated for the systems with different kinds of uncertainties using switching or nonswitching types of techniques. The performance of these controllers depends not only on the control structure but also on the values of the controller's parameters. In this context, an artificial immune system (AIS) can be useful to tune the VSCs' parameters. AISs represent a field of biologically inspired computing that attempts to exploit theories, principles, and concepts of modern immunology to design immune system-based applications in science and engineering, mainly in learning and optimization applications. This paper presents an AIS approach applied to optimize the design of an incremental discrete VSC for minimizing the generalized minimum variance strategy. Control design and implementation tests are assessed in a reactor and a control valve.