amoat7 / robotic-manipulator-nn-code-dead-zone-output-constraint-
Code for paper: Neural Network Control of a Robotic Manipulator With Input Deadzone and Output Constraint. http://ieeexplore.ieee.org/document/7222457/?reload=true
☆22Updated 4 years ago
Alternatives and similar repositories for robotic-manipulator-nn-code-dead-zone-output-constraint-
Users that are interested in robotic-manipulator-nn-code-dead-zone-output-constraint- are comparing it to the libraries listed below
Sorting:
- ☆14Updated last year
- Adaptive Finite Time Smooth Nonlinear Sliding Mode Tracking Control for Surface Vessels with Uncertainties and Disturbances☆22Updated 2 years ago
- code☆13Updated 2 years ago
- ☆7Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆20Updated last year
- Codes for the paper "Distributed Cooperative Control of Redundant Mobile Manipulators With Safety Constraints". IEEE Transactions on Cybe…☆16Updated 2 years ago
- This is a official code implementation for Nonlinear RISE based Integral Reinforcement Learning algorithms for perturbed Bilateral Teleop…☆18Updated last month
- Implemented Integral Sliding Mode control with Super Twisting Algorithm for control of bevel-tipped needle in MATLAB simulation. (Paper i…☆10Updated 2 years ago
- iman-sharifi-ghb / Trajectory-Tracking-of-8DoF-Tiltrotor-via-Fuzzy-Sliding-Mode-Control-with-Fuzzy-IdentificationTiltrotor Control and System Identification using Fuzzy C-Means Clustering.☆11Updated 7 months ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆30Updated 3 years ago
- qwq321qwq / Nonsingular-fast-terminal-sliding-mode-control-for-nonlinear-dynamical-systems-simulationthe Matlab function of the paper☆10Updated 2 years ago
- ☆9Updated 7 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆10Updated 3 years ago
- Code for paper: Adaptive Neural Network Control of a Robotic Manipulator With Backlash hysteresis. http://ieeexplore.ieee.org/document/7…☆26Updated 4 years ago
- Implementation of Adaptive Sliding Mode Control for an Unmanned Surface Vehicle☆16Updated 4 years ago
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- Joint work of Tsinghua University and the University of Adelaide☆10Updated last year
- Re-Implementation of paper "Active attitude fault-tolerant tracking control of flexible spacecraft via the Chebyshev neural Network"☆14Updated 3 years ago
- RBF神经网络自适应控制的相关代码,具体可参考 Liu J K. Radial Basis Function Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulat…☆43Updated 4 years ago
- This is the Github repository for a fault tolerant optimal ZNN controller with state constraints and precribed performance constraints de…☆15Updated 6 months ago
- In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience,…☆16Updated 3 years ago
- Robust L1-adaptive control of a planar nanopositioning system under model uncertainties and disturbances (Master Thesis)☆13Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆18Updated 2 years ago
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆36Updated 5 years ago
- Matlab files of RBFNN modified ADRC☆11Updated 2 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆16Updated 9 months ago
- Research on autonomous gait learning of a snake robot, involving Gaussian process regression(GPR) and model predictive control(MPC).☆2Updated 2 years ago
- The repository has a matlab implementation of SMC based controller on an AUV.☆21Updated 6 years ago
- My Master Thesis in the area of Data-Driven Control Engineering☆12Updated 3 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago