Journal ArticleDOI
Analytical and experimental nonzero-sum differential game-based control of a 7-DOF robotic manipulator:
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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...read more
Citations
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Journal ArticleDOI
AI-Based Posture Control Algorithm for a 7-DOF Robot Manipulator
Cheon-Soo Lee,Da-In An +1 more
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
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
Tamer Basar,Geert Jan Olsder +1 more
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.
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