Electrical energy is fundamental for the wellbeing and for the economic development of any
country. However, all countries must ensure access to essential resources and ensure the …

In this paper, an adaptive Jacobian and neural network based position/force tracking
impedance control scheme is proposed for controlling robotic systems with uncertainties and …

Wind turbines are widely exploited throughout the world. The availability and reliability of
offshore wind turbines are asking to impose a constant maintenance strategy. In this work …

为了减小执行重复运动任务机器人的末端位置误差, 提出了自适应迭代学习轨迹跟踪控制算法.
根据拉格朗日方程得到SCARA 机器人的动力学模型, 设计了控制力矩的迭代算法 …

In order to decrease the chattering generated by the sliding mode controller (SMC) in the
manipulator trajectory tracking, we present a new adaptive sliding mode controller based on …

In this paper, a Chattering Free Sliding Mode Control (CFSMC) with observer based
adaptive Radial Basis Function Neural Network (RBFNN) has been designed for first-order …

The design of a controller for a robotic manipulator is a crucial step in achieving system
robustness, accuracy, and stability. When the robot manipulator comes into contact with the …

In order to reduce the end position errors of robots performing repetitive motion tasks, an
adaptive iterative learning control algorithm of trajectory tracking was proposed. The …

With the development of SoC technology, the integration of FPGA+ ARM has become the
development direction of SoC. For the characteristics of integrated multi-axis motion control …

Fixed bed reactors are extensively used in chemical and process industries. Tight
temperature control can play a crucial role in determining the performance of such devices …