Adaptive attitude stabilization control design for spacecraft under physical limitations
M Li, M Hou, C Yin - Journal of guidance, control, and dynamics, 2016 - arc.aiaa.org
ATTITUDE stabilization control is an important orbital mission for spacecraft, which has been
intensively studied in controls literature during the past decades. Most existing researches …
intensively studied in controls literature during the past decades. Most existing researches …
Fuzzy fault-tolerant controller with guaranteed performance for mimo systems under uncertain initial state
It is always problematic that the initial value of the trajectory tracking error must be inside the
area included in the prescribed performance constraint function. To overcome this problem, …
area included in the prescribed performance constraint function. To overcome this problem, …
Novel adaptive predefined-time complete tracking control of nonlinear systems via ELM
CW Yin, S Riaz - Applied Intelligence, 2025 - Springer
A predefined-time sliding mode adaptive control method (PDTSMAC) for nonlinear system
is proposed in the presence of parameters unknown, external disturbances and arbitrary …
is proposed in the presence of parameters unknown, external disturbances and arbitrary …
Nonsingular fast predefined time convergence sliding mode control for construction robot
CW Yin, YP Ding, HJ Sun - ISA transactions, 2025 - Elsevier
To solve the practical engineering problem that the angle of a construction robot with an
arbitrary initial value completely and accurately track the desired trajectory, this paper presents …
arbitrary initial value completely and accurately track the desired trajectory, this paper presents …
Design of predefined time convergent sliding mode control for a nonlinear PMLM position system
S Riaz, CW Yin, R Qi, B Li, S Ali, K Shehzad - Electronics, 2023 - mdpi.com
The significant role for a contemporary control algorithm in the position control of a permanent
magnet linear motor (PMLM) system is highlighted by the rigorous standards for accuracy …
magnet linear motor (PMLM) system is highlighted by the rigorous standards for accuracy …
[HTML][HTML] Developing sustainable classification of diseases via deep learning and semi-supervised learning
C Yin, Z Chen - Healthcare, 2020 - mdpi.com
Disease classification based on machine learning has become a crucial research topic in
the fields of genetics and molecular biology. Generally, disease classification involves a …
the fields of genetics and molecular biology. Generally, disease classification involves a …
Network Security Situation Prediction Based on Sequential Extreme Learning Machine
CW Yin, L Xu - 2023 IEEE 11th International Conference on …, 2023 - ieeexplore.ieee.org
To improve the prediction accuracy of Extreme Learning Machine (ELM), this paper establishes
a sequential ELM algorithm with a forgetting factor by applying exponential weighting to …
a sequential ELM algorithm with a forgetting factor by applying exponential weighting to …
Neural network-based guaranteed performance sliding mode security control of nonlinear cyber-physical systems
C Yin, P Yi, X Bu - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
A groundbreaking approach is proposed to ensure performance security control in nonlinear
Cyber-Physical Systems (CPS), taking into account the presence of malicious cyber-attacks…
Cyber-Physical Systems (CPS), taking into account the presence of malicious cyber-attacks…
Neural network-based intelligent perception guaranteed performance control for mechanical arm
C Yin, P Yi, X Bu - Robotics and Autonomous Systems, 2025 - Elsevier
We concern with the intelligent perception control of a mechanical arm dynamic system with
unknown initial state values, parameter perturbations, and external disturbances. Unlike …
unknown initial state values, parameter perturbations, and external disturbances. Unlike …
Predefined time convergence guaranteed performance control for uncertain systems based on reinforcement learning
CW Yin - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
The prescribed performance control method (PPCM) is commonly employed to ensure the
guaranteed performance control of non-linear systems. However, traditional approaches …
guaranteed performance control of non-linear systems. However, traditional approaches …