Muhammad Junaid Khan

发表

Artificial neural network-based maximum power point tracking controller for real-time hybrid renewable energy system

Lini Mathew, Muhammad Junaid Khan, L. Mathew, 2021, Soft Computing.

Feedforward and Feedback Kinematics Controller for Wheeled Mobile Robot Trajectory Tracking

Muhammad Junaid Khan, Muhammad Asif, Muhammad Asif, 2014 .

Research on detector signal receiving network layout optimization model

Xin Qin, Muhammad Junaid Khan, Haibo Liang, 2020, Peer-to-Peer Netw. Appl..

On Almost Controllability of Dynamical Complex Networks with Noises

Ming He, Ning Cai, Muhammad Junaid Khan, 2017, J. Syst. Sci. Complex..

Dynamic evaluation of drilling leakage risk based on fuzzy theory and PSO-SVR algorithm

Muhammad Junaid Khan, Yanjun Lu, Jialing Zou, 2019, Future Gener. Comput. Syst..

An improved genetic algorithm optimization fuzzy controller applied to the wellhead back pressure control system

Muhammad Junaid Khan, Haibo Liang, Jialing Zou, 2020, Mechanical Systems and Signal Processing.

Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

Muhammad Junaid Khan, G. Sukthankar, Syed Hammad Ahmed, 2022, AIIDE.

Integral terminal sliding mode formation control of non-holonomic robots using leader follower approach

Muhammad Junaid Khan, Muhammad Asif, Attaullah Y. Memon, 2016, Robotica.

A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

Ning Cai, Muhammad Junaid Khan, Chen Diao, 2017, Complex..

A Novel Clustering Approach Based on Group Quasi-Consensus of Unstable Dynamic Linear High-Order Multi-Agent Systems pdf

Ning Cai, Muhammad Junaid Khan, Chen Diao, 2015, ArXiv.