In this paper the investigation of Adaptive Single Input Fuzzy Logic Controller (ASIFLC) as robust control of an Unmanned Underwater Vehicle (UUV). Robust control methods are designed to function properly with a present of uncertain parameters or disturbances. Robust control methods aim to achieve robust performance and stability in the presence of bounded modeling errors. The UUV applied in th...

A robust adaptive fuzzy control design approach is developed for a class of multivariable nonlinear systems with modeling uncertainties and external disturbances. The controller design for the overall systems has been carried out through a number of simpler controller designs for a series of the relevant auxiliary systems based on the backstepping design technique. For each auxiliary system, an...

This paper concerns the design of robust control systems using sliding-mode control that incorporates a fuzzy tuning technique. The control law superposes equivalent control, switching control, and fuzzy control. An equivalent control law is first designed using pole placement. Switching control is then added to guarantee that the state reaches the sliding mode in the presence of parameter and ...

In the case of widely-uncertain non-linear system control design, it was very difficult to design a single controller to overcome control design specifications in all of its dynamical characteristics uncertainties. To resolve these problems, a new design method of robust fuzzy control proposed. The solution offered was by creating multiple soft-switching with Takagi-Sugeno fuzzy model for optim...

In the field of control, various control methodologies and strategies have been devised, tested and implemented in process control and other such control applications. Favourite examples of controllers are proportional, Integral and derivative in parallel and/ or series combinations so far. Controller tuning is also an important aspect of process control. Speaking on control techniques, there a...

tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...

Anti-lock braking system is designed to optimize braking procedure while maintaining automobile steerability through controlling wheels slip. However, due to nonlinearity and uncertainty of ABS structure, designing the controller for wheel slip encounters so many problems which necessitate a robust control system. In this paper, a hybrid controller is proposed for ABS to address this issue. The...

The synchronous control system is the essential part of the giant forging hydraulic press, its synchronous control performance will directly determine the quality of the product. In order to improve the synchronous control precision, based on the fuzzy system, according to the changing regularity of the eccentric load during the forging process and synchronous control system mathematical model,...

The problem of designing controls for a linear dynamic system under input disturbance is considered. The input disturbance is bounded but the bound information is either deterministic or fuzzy. The control design is purely deterministic. However, the resulting system performance is interpreted differently, depending on the bound information. It may be deterministic or fuzzy (i.e. with a spectru...

In intuitive design steps, a fuzzy logic-based robust controller is designed to address the first 1990-1992 American Control Conference benchmark problem. Using a conceptual transformation of the original flexible body into a perpetual rigid body mode, a final design which succeeds in stabilizing the system after a unit impulse disturbance is developed. The simulation results are shown to achie...