Assoc. Prof. Dr. Chao Zhang | Control Engineering | Best Researcher Award
Associate Professor | Henan Institute of Technology | China
Chao Zhang is an accomplished researcher and academic in the field of control theory, adaptive systems, and intelligent optimization methods, with extensive contributions spanning nonlinear system modeling, robust control, and advanced scheduling algorithms. His research journey demonstrates strong expertise in adaptive control of uncertain nonlinear time-varying systems with noise disturbances and has been widely recognized through influential publications and funded research projects. His scholarly works include Multidimensional Taylor Network Adaptive Control for MIMO Time-varying Uncertain Nonlinear Systems with Noises, Inverse Control of Single-Input/Single-Output Nonlinear Time-varying Systems with Noise Disturbances by Multi-dimensional Taylor Network, Data-driven Nonlinear Near-optimal Regulation based on Multi-dimensional Taylor Network Dynamic Programming, Identification and Adaptive Multi-dimensional Taylor Network Control of Single-input Single-output Non-linear Uncertain Time-varying Systems with Noise Disturbances, and Green Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm. He has further advanced optimization algorithms through works such as Adaptive Discrete Cat Swarm Optimization Algorithm for Flexible Job Shop Problem, Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases, Energy-efficient Scheduling for a Job Shop using an Improved Whale Optimization Algorithm, and Energy-efficient Scheduling for a Job Shop using Grey Wolf Optimization Algorithm with Double-searching Mode. His earlier works also include Inverse Control of Multi-dimensional Taylor Network for Permanent Magnet Synchronous Motor and Nonlinear stochastic time-varying system identification based on multi-dimensional Taylor network with optimal structure. Beyond international publications, he has authored significant Chinese-language contributions such as career combining theoretical innovation and engineering application, Chao Zhang has established himself as a leading scholar in adaptive control, nonlinear system identification, intelligent optimization, and energy-efficient scheduling, contributing both to the advancement of control theory and its real-world industrial applications.
Profile: Orcid
Featured Publications:
Sun, Q., Qiu, Y., & Zhang, C. (2024). Research on torque compensation strategy of wind maneuver model experimental system by increasing the analog multiple of moment of inertia. Energies, 18(1), 87.
Zhang, C. (2020). Inverse control of single-input/single-output nonlinear time-varying systems with noise disturbances by multi-dimensional Taylor network. Transactions of the Institute of Measurement and Control, 42(13), 2450–2464.
Zhang, C. (2019). Multidimensional Taylor network adaptive control for MIMO time-varying uncertain nonlinear systems with noises. International Journal of Robust and Nonlinear Control, 30(1), 397–420.
Zhang, C. (2019). Identification and adaptive multi-dimensional Taylor network control of single-input single-output non-linear uncertain time-varying systems with noise disturbances. IET Control Theory & Applications, 13(6), 841–853.
Zhang, C. (2017). Inverse control of multi-dimensional Taylor network for permanent magnet synchronous motor. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 36(6), 1676–1689.
Zhang, C. (2025). Optimized non-linear observer for PMSM speed control system integrating multi-dimensional Taylor network and Lyapunov theory.