In this paper, a new hybrid method for controlling wheeled robot is introduced. Model predictive control (MPC) the main controller and fuzzy used as compensator. The nonlinear, multi-input–multi-output system that requires combined methods precise control. order to stabilize appropriate input set, at same time, attention paid reference signal tracking. simulation section, several different scen...

As the speed and payload of Wheeled Mobile Robots (WMRs) increases and the clearances between obstacles and docking error tolerances decreases, methods for reducing tracking errors become increasingly important for a successful application. In this paper techniques and results are presented for improved tracking control of a WMR through the generation and dynamic simulation of paths with and wi...

A measure differential inclusion (MDI) based modeling approach for rigidbody mechanical systems will be introduced, that can exhibit autonomous or controlled mode transitions, accompanied by discontinuities on velocity and acceleration level. The hybrid optimal control necessitates the consideration of an uncommon concept of control, namely, controls of unbounded, impulsive and set-valued type....

We describe an incremental approach towards the development of autonomous indoor flyers that use only vision to navigate in textured environments. In order to cope with the severe weight and energy constraints of such systems, we use spiking neural controllers that can be implemented in tiny micro-controllers and map visual information into motor commands. The network morphology is evolved by m...

In this paper, a new event-based control strategy for mobile robots is presented. It has been designed to work in wireless environments where a centralized controller has to interchange information with the robots over an RF (radio frequency) interface. The event-based architectures have been developed for differential wheeled robots, although they can be applied to other kinds of robots in a s...