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Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion
期刊论文
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 卷号: 34, 期号: 10, 页码: 9060-9070
作者:
Haider, Muhammad Husnain
;
Wang, Zhonglai
;
Khan, Abdullah Aman
;
Ali, Hub
;
Zheng, Hao
收藏
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浏览/下载：1/0
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提交时间：2023/11/17
ANFIS
GPS
Mobile robot
Obstacle avoidance
Autonomous navigation
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:
Zhong, Weifeng
;
Wang, Mengxuan
;
Wei, Qinglai
;
Lu, Jingwei
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浏览/下载：14/0
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提交时间：2022/06/10
Integral reinforcement learning
Nuclear power reactor
Nonlinear system
Optimal tracking control
Neural networks
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 77-86
作者:
Wang, Ding
;
Qiao, Junfei
;
Cheng, Long
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浏览/下载：25/0
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提交时间：2022/03/17
Control design
Cost function
Optimal control
Nonlinear systems
Adaptive systems
Switches
Adaptive learning system
discount factor
guaranteed cost function
neuro-optimal control
uncertainty
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Wang, Ding
;
Ha, Mingming
;
Cheng, Long
收藏
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浏览/下载：29/0
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提交时间：2022/01/27
Trajectory
Heuristic algorithms
Convergence
Trajectory tracking
Stability criteria
Optimal control
Dynamic programming
Adaptive critic design
discrete-time nonlinear plants
neuro-optimal trajectory tracking
uniformly ultimately bounded stability
value iteration
Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16, 页码: 19
作者:
Chen, Dewang
;
Cai, Jijie
;
Huang, Yunhu
;
Lv, Yisheng
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浏览/下载：25/0
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提交时间：2021/11/03
interpretability
high-dimensional data
adaptive neuro-fuzzy inference system
deep neural fuzzy system
A partial policy iteration ADP algorithm for nonlinear neuro-optimal control with discounted total reward
期刊论文
NEUROCOMPUTING, 2021, 卷号: 424, 页码: 23-34
作者:
Liang, Mingming
;
Wei, Qinglai
收藏
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浏览/下载：39/0
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提交时间：2021/03/15
Adaptive critic designs
Adaptive dynamic programming
Policy iteration
Neural networks
Neuro-dynamic programming
Nonlinear systems
Optimal control
Adaptive Dynamic Programming for Control: A Survey and Recent Advances
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 142-160
作者:
Liu, Derong
;
Xue, Shan
;
Zhao, Bo
;
Luo, Biao
;
Wei, Qinglai
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浏览/下载：28/0
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提交时间：2021/03/08
Adaptive critic designs (ACDs)
adaptive dynamic programming
approximate dynamic programming
intelligent control
learning control
neural dynamic programming
neuro-dynamic programming
optimal control
reinforcement learning (RL)
Multiagent Reinforcement Learning:Rollout and Policy Iteration
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 249-272
作者:
Dimitri Bertsekas
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浏览/下载：20/0
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提交时间：2021/04/09
Dynamic programming
multiagent problems
neuro-dynamic programming
policy iteration
reinforcement learning, rollout
Continuous-Time Time-Varying Policy Iteration
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 12, 页码: 4958-4971
作者:
Wei, Qinglai
;
Liao, Zehua
;
Yang, Zhanyu
;
Li, Benkai
;
Liu, Derong
收藏
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浏览/下载：15/0
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提交时间：2021/03/02
Optimal control
Nonlinear systems
Time-varying systems
Mathematical model
Dynamic programming
Approximation algorithms
Iterative algorithms
Adaptive critic designs
adaptive dynamic programming (ADP)
neuro-dynamic programming
nonlinear systems
optimal control
policy iteration
Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm
期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985
作者:
Liang, Mingming
;
Wang, Ding
;
Liu, Derong
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浏览/下载：17/0
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提交时间：2020/10/23
Adaptive critic designs
adaptive dynamic programming (ADP)
local policy iteration
neuro-dynamic programming
optimal control
stochastic processes
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