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Journal ArticleDOI

Analytical and experimental nonzero-sum differential game-based control of a 7-DOF robotic manipulator:

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TLDR
A Nash-based feedback control law is formulated for an Euler–Lagrange system to yield a solution to noncooperative differential game.
Abstract
We formulate a Nash-based feedback control law for an Euler–Lagrange system to yield a solution to noncooperative differential game. The robot manipulators are broadly used in industrial units on t...

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Citations
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Journal ArticleDOI

AI-Based Posture Control Algorithm for a 7-DOF Robot Manipulator

Cheon-Soo Lee, +1 more
- 04 Aug 2022 - 
TL;DR: A new method is proposed that can replace both the FK and IK equations of a seven-degrees-of-freedom (7-DOF) robot manipulator based on reinforcement learning and artificial neural networks for supervised learning.

UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

TL;DR: In this paper, the authors presented the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs).
Journal ArticleDOI

A Study of Knee Exoskeleton Configuration Based on Lower Limb Motion Characteristics Analysis

Xinyao Tang, +2 more
- 04 Jul 2023 - 
TL;DR: In this article , the spatiotemporal characteristics of lower limb motion using data collection from human walking gait experiments were analyzed, and according to the macro-and micro-motion mechanisms of the knee joint, six knee exoskeleton configurations were proposed.
References
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Book

Dynamic Noncooperative Game Theory

TL;DR: In this paper, the authors present a general formulation of non-cooperative finite games: N-Person nonzero-sum games, Pursuit-Evasion games, and Stackelberg Equilibria of infinite dynamic games.
Book ChapterDOI

An Introduction to Game Theory

TL;DR: This chapter is devoted to a more detailed examination of game theory, and two game theoretic scenarios were examined: Simultaneous-move and multi-stage games.
Journal ArticleDOI

Autonomous Vehicle-Target Assignment: A Game-Theoretical Formulation

TL;DR: In this article, a game-theoretical approach is proposed to solve the problem of autonomous vehicle-target assignment, where a group of vehicles are expected to optimally assign themselves to a set of targets.
Journal ArticleDOI

Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective

TL;DR: This paper provides a tractable way to extend existing results on individual manipulator control using recurrent neural networks to the scenario with the coordination of multiple manipulators and proves global stability and solution optimality of the proposed neural networks.
Book

Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles

TL;DR: The book shows how ADP can be used to design a family of adaptive optimal control algorithms that converge in real-time to optimal control solutions by measuring data along the system trajectories.