The innovation of two-wheeled balancing robots affects human life in different ways. Immense research continues to be undertaken make such cheap, efficient, and reliable. Essentially, autonomous mobile are two-wheeled, vertical, self-balancing. robot's control system automation application intergraded with daily life. Autonomy is applied vehicles as robots, referred a vehicle capable independen...

In this paper we present stability and convergence results for Dynamic Programming-based reinforcement learning applied to Linear Quadratic Regulation (LQR). The spe-ciic algorithm we analyze is based on Q-learning and it is proven to converge to the optimal controller provided that the underlying system is controllable and a particular signal vector is persistently excited. The performance of ...

It is studied how system structure can be utilized to derive reduced dimension multi-parametric quadratic programs that lead to sub-optimal explicit piecewise linear feedback solutions to the state and input constrained LQR problem. This results in a controller of lower complexity and associated computational advantages in the online implementation. At heart of the methods are state space proje...

This paper presents an explicit solution to a two player distributed LQR problem in which communication between controllers occurs across a communication link with varying delay. We extend known dynamic programming methods to accommodate this varying delay, and show that under suitable assumptions, the optimal control actions are linear in their information, and that the resulting controller ha...

In this paper, the seven degrees of freedom (DOF) nonlinear system model articulated vehicles, including vehicle dynamics model, tire and hydraulic steering linearized ideal reference is constructed. A layered stability controller for built. The particle swarm optimization (PSO)-based variable parameter linear quadratic regulator (LQR) upper-level yaw torque lower-level distributor based on pri...

The positive buoyancy diving autonomous vehicle combines the features of an Unmanned Surface Vessel (USV) and Autonomous Underwater Vehicle (AUV) for marine measurement monitoring. It can also be used to study reasonable efficient techniques underwater robots. In order optimization low power consumption high efficiency cruise motion vehicle, its dynamic modeling has been established. optimal cr...

Nowadays, using advanced vehicle control and safety systems in vehicles is growing rapidly. In this regard, in recent years new control systems, called VDC, have been introduced. These systems stabilize vehicle yaw motion, by yaw moment resulted from tire controlling forces. In this paper, an adaptive optimal controller applied to a vehicle to obtain a satisfactory lateral and yaw stability. To...