A novel adaptive dynamic optimal balance control method for wheel ...

Inspired by reinforcement learning and adaptive dynamic programming, a novel dynamic optimal balance control method is proposed for wheel-legged ...

Semantic Scholar extracted view of "A novel adaptive dynamic optimal balance control method for wheel-legged robot" by Xuefei Liu et al.

A novel adaptive dynamic optimal balance control method for wheel ...

Request PDF | On Oct 1, 2024, Xuefei Liu and others published A novel adaptive dynamic optimal balance control method for wheel-legged robot | Find, ...

(PDF) Balance Control of a Novel Wheel-legged Robot: Design and ...

Wang et al proposed a nonlinear controller that improved the robot's balancing performance [31] . Saglia et al. delivered an inverse-kinematics control strategy ...

Learning-Based Balance Control of Wheel-Legged Robots

Abstract: This letter studies the adaptive optimal control problem for a wheel-legged robot in the absence of an accurate dynamic model. A ...

Balance Control of a Novel Wheel-legged Robot - Semantic Scholar

This paper presents a balance control technique for a novel wheel ... A novel adaptive dynamic optimal balance control method for wheel-legged robot.

Adaptive optimal output regulation for wheel-legged robot Ollie - NCBI

We test the AOOR-based controller by forcing the robot to stand still, which is a conventional index to judge the balance controller for two- ...

A Novel Nonlinear Adaptive Control Method for Longitudinal Speed ...

The longitudinal control problem for four-independent-wheel autonomous vehicles presents challenges such as complex models, high nonlinearity, and strong system ...

Adaptive control of two-wheeled mobile balance robot capable to ...

In this article, a novel real-time artificial neural network–based adaptable switching dynamic controller is developed and practically ...

A novel adaptive robust control for trajectory tracking of mobile robot ...

The procedure of U-K theory demonstrates as follows: (a) Establish the unconstrained dynamics equation of specific mechanical system, and obtain the matrices M ...

Global Adaptive Dynamic Programming for Continuous-Time ... - arXiv

Abstract—This paper presents a novel method of global adaptive dynamic programming (ADP) for the adaptive optimal control of nonlinear polynomial systems.

Adaptive Reinforcement Learning Strategy with Sliding Mode ...

This paper develops a novel adaptive integral sliding-mode control (SMC) technique to improve the tracking performance of a wheeled inverted ...

A Novel Adaptive and Nonlinear Electrohydraulic Active Suspension ...

The proposed control consists of an adaptive neural networks' backstepping control, coupled with a nonlinear control filter system aimed at tracking the output ...

adaptive dynamic programming: Topics by Science.gov

... a novel adaptive dynamic programming algorithm is proposed to obtain optimal solutions. ... a novel adaptive event-triggered control method ... dynamic balance ...

Novel adaptive robust L1‐based controllers for teleoperation ...

To formulate the theories, the asymptotic stability of the closed-loop system for each controller is first proved utilizing the Lyapunov method, ...

OUCI

Abstract A design of two-wheeled robot (TWR) trajectory tracking control system (TTCS) using model reference adaptive control method is presented. The TTCS is ...

Aihong Ji - Matilda

A novel adaptive dynamic optimal balance control method for wheel-legged robot. Article de revue · Xuefei Liu et al. - 2024/10/01, Applied Mathematical ...

A novel hybrid adaptive differential evolution for global optimization

In pursuit of optimizing convergence speed whilst preserving population diversity, a sophisticated nonlinear population size reduction method is ...

Adaptive resilient event‑triggered control design of autonomous ...

system dynamics. Partially due to the feasibility of solving optimal control problems by RL and ADP methods, which have found good applications ...

Will adaptive dynamic suspension really make my life better?

The adaptive dampers can then use this information to constantly adjust and fine-tune to give you a composed ride with maximum control. I'm ...