Flagellar beating of hyperactivated golden hamster spermatozoa was analyzed in detail using digital image analysis and was compared to that of nonhyperactivated (activated) spermatozoa in order to understand the change in flagellar beating during hyperactivation and the active microtubule sliding that brought about the change in flagellar beating. Hyperactivated flagellar beating, which was cha...

This paper presents a new approach to Load Frequency Control (LFC) for a hydro-power plant. The control algorithm combines sliding mode control with H∞ technique. The dynamic model of an entire hydro-power plant has been developed. The sliding hyperplane is constructed by H∞ full state feedback control method. The ideal lossless turbine-penstock model is used in this paper to conduct the simula...

The bifurcation and chaos phenomenon which exist in power grid are threats to the stable operation of power grid and the safety of people and equipment. In order to eliminate the chaos phenomena in power grid, a kind of non-singular terminal sliding mode (NTSM) variable structure control method based on immune algorithm is put forward. The second-order model of grid chaotic oscillation is built...

This paper proposes a new method for the analysis and design of sliding mode observers for sensor fault reconstruction. The proposed scheme addresses one of the restrictions inherent in other sliding mode estimation approaches for sensor faults in the literature (which effectively require the open-loop system to be stable). For open-loop unstable systems, examples can be found, for certain comb...

The camera stabilizer stabilizes the camera’s line of sight by isolating the camera from the model uncertainties, disturbances of operating environment and system movements. This paper presents a voltage-base optimal adaptive fuzzy sliding mode control for camera stabilizer. In this proposed control method, a voltage-base sliding mode controller is applied. But unfortunately, undesirable ...

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...

In this work a sliding mode control method for a nonholonomic mobile robot using adaptive neural network is proposed. Due to this property and restricted mobility, the trajectory tracking of this system has been one of the research topics for the last ten years. The proposed control structure combines a feedback linearization model, based on a kinematics nominal model, and a practical design th...

In this paper, an auto-tuning fuzzy sliding-mode controller design approach using particle swarm optimization (PSO) is proposed. This approach provides a simple way of designing a fuzzy sliding controller for nonlinear systems. Moreover, for this method the heuristic sliding factors are not needed to be known. Therefore, the proposed method eliminates the trial-and-error process for finding the...

Due to computational burden and dynamic uncertainty, the classical model-based control approaches are hard to be implemented in the multivariable robotic systems. In this paper, a model-free fuzzy sliding mode control based on neural network is proposed. In classical sliding mode controllers, system dynamics and system parameters are required to compute the equivalent control. In Radial Basis F...

This paper presents result of a research and development of nonlinear system synthesis using sliding mode method to perfect the current sliding mode technique. Actually, the problem is the adjustment certain input control of nonlinear plant so the variable state system reaches the equilibrium point. It was done by choosing a manifol or certain area that once state system enter this area or mani...