Aimed at the problems of low control accuracy and weak robustness influenced by external disturbance, friction, load changes, modeling errors and other issues in ammunition auto-loading robot control system, a new robust adaptive fuzzy sliding mode controller based on fuzzy compensation is proposed. The control architecture employs fuzzy systems to compensate adaptively for plant uncertainties ...

The main objectives of vehicle motion control on an automated highway system are stable and safe automatic longitudinal and/or lateral path following in a platoon of vehicles. Various controllers can be used to satisfy the same objectives, but they may require different variables to be sensed or different conditions to be met. Supervision can select a controller and switch to a different contro...

Farzan Rashidi is with the Engineering Research Institute, Tehran, Iran. Mehran Rashidi is with the Hormozgan Regional Electric Co., Bandar-Abbas, Iran. Hamid Monavar is with the Hormozgan Regional Electric Co., Bandar-Abbas, Iran. Abstract—This paper proposes the design of power system stabilizer based on fuzzy logic and the sliding mode controller. The control objective is to enhance the stab...

In this paper, a self-tuning fuzzy sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic stability for a class of fourth-order nonlinear system. Moreover, heuristic sliding factors are implemented as fuzzy inference. Therefore, the proposed method eliminates the trial-and-error process for finding appropriate ...

This paper deals with improvement of superheated steam temperature fuzzy control of high-pressure part in once-through boiler. The improvement of fuzzy control quality is based on optimization of fuzzy controller parameters. The optimization is based on minimization criteria. Optimized fuzzy parameters are function of high pressure steam temperature. More possibilities of optimization are prese...

In order to realize the trajectory tracking control of six degrees of freedom parallel robot, the dynamics equation of six degrees of freedom parallel robot was established. The parallel robot has obvious nonlinear, uncertainty characteristics and external disturbance, so the sliding mode variable structure theory was introduced into the system control. A fuzzy support vector machines control s...

The hydraulic servo control system, which is the important component of parallel robot, is a high order, nonlinear, dynamic asymmetry, parameter uncertain system, which seriously affect dynamic performance of robot, so it is very difficult to gain good performance with traditional control. Based on sliding mode variable structure control method combined with fuzzy control and adaptive control, ...

Two-mode partitioning is a relatively new form of clustering that clusters both rows and columns of a data matrix. In this paper, we consider deterministic twomode partitioning methods in which a criterion similar to k-means is optimized. A variety of optimization methods have been proposed for this type of problem. However, it is still unclear which method should be used, as various methods ma...

Fuzzy logic controls and neuro-fuzzy controls are accustomed to increase the performance of air conditioning system. In this paper, we are trying to provide the new design air conditioning system by exploitation two logics, namely fuzzy logic and neuro-fuzzy management. This paper proposes a set of rule and uses 2 inputs specifically temperature and humidness and 4 outputs specifically compress...

The whole frame of nature_inspired computation systems is inquired into, the characteristics of machine learning in nature_inspired computation systems are researched, and a particular scheme on machine learning in nature_inspired computation systems is designed with environment being gathered present data; study unit adopting fuzzy optimizatio algorithm based on genetic algorithm; knowledge ba...