Growing echo state network with an inverse-free weight update strategy
An echo state network (ESN) draws widespread attention and is applied in many scenarios.
As the most typical approach for solving the ESN, the matrix inverse operation of high …
As the most typical approach for solving the ESN, the matrix inverse operation of high …
A new approach for production project scheduling with time-cost-quality trade-off considering multi-mode resource-constraints under interval uncertainty
Due to today's competitive environment and information boom, companies are concerned
about production planning in uncertain conditions. This paper integrates decision-making …
about production planning in uncertain conditions. This paper integrates decision-making …
Neural-network-based event-triggered sliding mode control for networked switched linear systems with the unknown nonlinear disturbance
The event-triggered sliding mode control (SMC) problem for uncertain networked switched
systems with the external unknown nonlinear disturbance is investigated. A neural network …
systems with the external unknown nonlinear disturbance is investigated. A neural network …
A penalty function-based random search algorithm for optimal control of switched systems with stochastic constraints and its application in automobile test-driving with …
X Wu, J Lin, K Zhang, M Cheng - Nonlinear Analysis: Hybrid Systems, 2022 - Elsevier
Practical industrial process is usually a dynamic process including uncertainty. Stochastic
constraints can be used for industrial process modeling, when system sate and/or control …
constraints can be used for industrial process modeling, when system sate and/or control …
Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion
L Dong, F Jiang, M Wang, X Li - Knowledge-Based Systems, 2022 - Elsevier
Electrical resistivity imaging (ERI) is a non-invasive imaging technique for measuring
resistivity, and the inversion problem of ERI is non-linear and non-convex. Traditional fuzzy …
resistivity, and the inversion problem of ERI is non-linear and non-convex. Traditional fuzzy …
An unknown input observer–EFIR combined estimator for electrohydraulic actuator in sensor fault-tolerant control application
This article presents a novel unknown input observer (UIO)-integrated extended finite
impulse response (EFIR) estimator and its application for an effective sensor fault-tolerant …
impulse response (EFIR) estimator and its application for an effective sensor fault-tolerant …
Fuzzy surfacelet neural network evaluation model optimized by adaptive dragonfly algorithm for pipeline network integrity management
J Sun, B Zhao, D Gao, L Xu - Applied Soft Computing, 2021 - Elsevier
In order to improve integrity management evaluation level of pipeline, the fuzzy surfacelet
neural network optimized by improved dragonfly algorithm. Firstly, the domestic and foreign …
neural network optimized by improved dragonfly algorithm. Firstly, the domestic and foreign …
Switching position-torque control system for increasing servo PMDC positioning precision in presence of intense external disturbance loading
MR Homaeinezhad, M Farzannasab - Mechanical Systems and Signal …, 2021 - Elsevier
The overall performance of servo Permanent Magnet DC (PMDC) machines can be gravely
undermined when the machine is prone to strong external disturbances and uncertainty in …
undermined when the machine is prone to strong external disturbances and uncertainty in …
Synthetic Lyapunov stabilization technique for designing actuation-constrained multi-input multi-output control systems
MR Homaeinezhad, MHS Mostaghim - Journal of the Franklin Institute, 2022 - Elsevier
The main objective of this paper is to present a non-predictive method in the design of
nonlinear multi-input multi-output (MIMO) control systems with the presence of constraints …
nonlinear multi-input multi-output (MIMO) control systems with the presence of constraints …
Numerical algorithm for optimal control of switched systems and its application in cancer chemotherapy
X Wu, J Lin, K Zhang, M Cheng - Applied Soft Computing, 2022 - Elsevier
This paper considers an optimal control problem of switched dynamical systems with control
input and system state constraints. Unlike in traditional switched dynamical systems, the …
input and system state constraints. Unlike in traditional switched dynamical systems, the …