Biorobotics Lab
Biorobotics Lab
Home
People
Research
Publications
News
Careers
Contact
Yongping Pan
Latest
Indirect adaptive control of multi-input-multi-output nonlinear singularly perturbed systems with model uncertainties
Composite learning control of robotic systems: A least squares modulated approach
Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach
Enhanced parameter estimation in adaptive control via online historical data
Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach
Composite learning adaptive backstepping control using neural networks with compact supports
Robust Sliding Mode Control for Robots Driven by Compliant Actuators
Efficient learning from adaptive control under sufficient excitation
Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators
On parameter convergence in least squares identification and adaptive control
Integral Sliding Mode Control: Performance, Modification, and Improvement
Continuous sliding mode control of compliant robot arms: A singularly perturbed approach
Adaptive Command-Filtered Backstepping Control of Robot Arms With Compliant Actuators
Composite learning robot control with guaranteed parameter convergence
Discussions on Smooth Modifications of Integral Sliding Mode Control
Continuous Tracking Control for a Compliant Actuator With Two-Stage Stiffness
Composite learning from adaptive backstepping neural network control
Output-Feedback Adaptive Neural Control of a Compliant Differential SMA Actuator
Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control
Adaptive fuzzy PD control with stable H$\infty$ tracking guarantee
Adaptive Human-Robot Interaction Control for Robots Driven by Series Elastic Actuators
Adaptive Human{\textendash}Robot Interaction Control for Robots Driven by Series Elastic Actuators
Multi-modal control scheme for rehabilitation robotic exoskeletons
Robust model predictive control for constrained continuous-time nonlinear systems
Adaptive Neural Network Control for Constrained Robot Manipulators
Composite Learning From Adaptive Dynamic Surface Control
Composite Learning Fuzzy Control of Uncertain Nonlinear Systems
Least-squares learning control with guaranteed parameter convergence
Model reference composite learning control without persistency of excitation
Composite learning: An efficient way of parameter estimation in adaptive control
Biomimetic composite learning for robot motion control
Region control for robots driven by series elastic actuators
Robustness analysis of composite adaptive robot control
Hybrid feedback feedforward: An efficient design of adaptive neural network control
Composite adaptive dynamic surface control using online recorded data
Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle
Composite learning control with application to inverted pendulums
Composite learning from model reference adaptive fuzzy control
Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators
Human{\textendash}Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators
Online data-driven composite adaptive backstepping control with exact differentiators
Dynamic surface control via singular perturbation analysis
Simplified adaptive neural control of strict-feedback nonlinear systems
Design and control of a novel compliant differential shape memory alloy actuator
Global Asymptotic Stabilization Using Adaptive Fuzzy PD Control
Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee
Biomimetic hybrid feedback feedforword adaptive neural control of robotic arms
Fast and low-frequency adaptation in neural network control
Machine health condition prediction via online dynamic fuzzy neural networks
Output Feedback Adaptive Neural Control Without Seeking {SPR} Condition
Leader-Based Consensus of Heterogeneous Nonlinear Multiagent Systems
Cite
×
