In this study, a modified model predictive control scheme is proposed, in which a dedicated weighting factor is incorporated into the cost function to explicitly account for common‐mode voltage (CMV) effects during the control process. This modification leads to a significant reduction—up to 40%—in the magnitude of the generated CMV.
Javad Amini, Reza Roshanafekr
wiley +1 more source
Multi-constraint model predictive control of flexible joint drive system based on unknown state estimator and constraint adaptive hierarchical planning. [PDF]
Song C, Du Q, Guo X.
europepmc +1 more source
Pose Stabilization Control for Base of Combined System Using Feedforward Compensation PD Control During Target Satellite Transposition. [PDF]
Hu Z +5 more
europepmc +1 more source
Smart exoskeleton-assisted rehabilitation after fracture surgery: closed-loop control, personalized load management, and integrated telemonitoring. [PDF]
Pei T +7 more
europepmc +1 more source
A fuzzy-TD3 hybrid reinforcement learning framework for robust trajectory tracking of the Mitsubishi RV-2AJ robotic arm. [PDF]
Hazem ZB.
europepmc +1 more source
Perching of quadrotor using adaptive second-order continuous control in the presence of uncertainties. [PDF]
Gupta S +4 more
europepmc +1 more source
Collaborative Control for a Robot Manipulator via Interaction-Force-Based Impedance Method and Extremum Seeking Optimization. [PDF]
Pi M.
europepmc +1 more source
Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning.
Shiyu F.
europepmc +1 more source

