This paper designs an Optimized Adaptive Combined Hierarchical Sliding Mode Controller (OACHSMC) for a time-varying crane model in presence of uncertainties. Uncertainties have always been one of the most important challenges in designing control systems, which include the unknown parameters or un-modeled dynamics in the systems. Sliding mode controller (SMC) is able to compensate the system in...

The paper presents some experimental results of a real-time implementation of discrete sliding mode control combined with a fuzzy-logic damper block. The hybrid real-time algorithm developed is aimed at applications to discrete systems. The sliding mode part of the solution is based on system input and output measurements. The algorithm combines an integral action, a nonlinear output feedback, ...

This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In t...

In this chapter, three methods for synchronizing of two chaotic gyros in the presence of uncertainties, external disturbances and dead-zone nonlinearity are studied. In the first method, there is dead-zone nonlinearity in the control input, which limits the performance of accurate control methods. The effects of this nonlinearity will be attenuated using a fuzzy parameter approximator integrate...

Several methods of chattering reduction have been reported. One approach [5] places a boundary layer around the switching surface such that the relay control is replaced by a saturation function. Another method [6] replaces a max-min-type control by a unit vector function. These approaches involve a trade-off between chattering and robustness. The aim of this paper is to develop a Fuzzy sliding...

A new fuzzy bang–bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang–bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang–bang output. Consequently, the tuning of FBBRC is restricted to input parameters only in comparison to standard fuzzy logic controller (FLC) where the o...

Diabetes is considered as a global affecting disease with an increasing contribution to both mortality rate and cost damage in the society. Therefore, tight control of blood glucose levels has gained significant attention over the decades. This paper proposes a method for blood glucose level regulation in type 1 diabetics. The control strategy is based on combining the fuzzy logic theory and si...

Combination of sliding-mode control and an AI block based on fuzzy logic is introduced. This hybrid control structure provides very good control performance and robustness of control loops. Based on the Lyapunov’s direct method, the sliding mode control is designed to guarantee the stability and good tracking performance of controlled systems. The fuzzy logic block is designed to mimic the beha...

in previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. the controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main issue ...