- Adaptive Dynamic Programming Control
- Frequency Control in Power Systems
- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Adaptive Control of Nonlinear Systems
- Mechanical Circulatory Support Devices
- Advanced Battery Technologies Research
- Magnetic Properties and Applications
- Electrical Fault Detection and Protection
- Vacuum and Plasma Arcs
- Stability and Control of Uncertain Systems
- Smart Grid Energy Management
- Machine Fault Diagnosis Techniques
- Advanced Battery Materials and Technologies
- Soil Mechanics and Vehicle Dynamics
- Advancements in Battery Materials
- Neural Networks Stability and Synchronization
- Electric Motor Design and Analysis
- Control Systems and Identification
- Energy Harvesting in Wireless Networks
- Reinforcement Learning in Robotics
- Power Transformer Diagnostics and Insulation
- Advanced Queuing Theory Analysis
- Environmental remediation with nanomaterials
- Cavitation Phenomena in Pumps
Shenyang University of Technology
2008-2024
Changzhou University
2024
University of Manchester
2023-2024
State Grid Corporation of China (China)
2022-2024
Tiangong University
2024
Henan University of Engineering
2023-2024
Harbin Engineering University
2024
China Medical University
2023
First Hospital of China Medical University
2023
Tarim University
2023
In this article, the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> tracking control problem for a class of discrete time-delay systems is studied using databased adaptive dynamic programming (ADP) algorithm. First, controlled system and reference are combined to form an augmented system. Second, we transform it into represented by measured data, which allows state be completely replaced data generated during operation. Third, novel...
In this paper, a data-based control method based on adaptive dynamic programming (ADP) algorithm is proposed for class of discrete-time (DT) systems in the case multiple delays. Data-based ADP implemented by virtue measured input and output data. The condition existence corresponding equivalent delays system derived according to characteristics time-delay system. A novel state equation developed that only composed data, which very meaningful practical applications. By using method, feedback...
In this paper, a novel integral reinforcement learning method is proposed based on value iteration (VI) to design the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> controller for continuous-time nonlinear systems subject input constraints. To confront control constraints, nonquadratic function introduced reconstruct notation="LaTeX">${L_{2}}$ -gain condition...
Perfluorooctanoic acid (PFOA), a representative of per/polyfluorinated alkyl substances, has become persistent water pollutant widespread concern due to its biological toxicity and refractory property. In this work, we design synthesize two porous aromatic frameworks (PAF) PAF-CF3 PAF-C2F5 using fluorine-containing based monomers in tetrahedral geometry. Both PAFs exhibit nanosized pores (∼1.0 nm) high surface areas (over 800 m2 g-1) good fluorophilicity. Remarkable adsorption capacity (˃740...
Abstract In the diagnosis of wind turbine blade faults, information provided by a single sensor is limited. To address this issue and take advantage complementary features among multiple fault sources, while enhancing accuracy, method for diagnosing faults proposed. This combines Image Fusion Convolutional Neural Network (IFCNN) with ResNet network. Firstly, time-frequency representation vibration data obtained using wavelet transform. The images are input into IFCNN to obtain fused...
Abstract Reliable wind farm short‐term output power prediction plays a crucial role in the safety and economy of system operation. By embedding multiple neural network methods, such as long memory (LSTM) network, optimized BP wavelet (WNN), combined with methods based on signal decomposition reconstruction to evaluate effect. In this study, variational modal (VMD) method complete ensemble empirical mode adaptive noise (CEEMDAN) are used reduce fluctuation original signal. Besides, intrinsic...
Abstract In this article, a new data‐based adaptive dynamic programming algorithm is proposed to solve the optimal control policy for discrete‐time systems with uncertainties. Firstly, uncertain systems, corresponding Hamiltonian function designed, and then robust obtained. Next, by using input output data of system, Bellman equation constructed, derived, which does not require accurate model system. Finally, simulation example shows effectiveness algorithm.
Aviation cables are an essential part of aircraft, which transmits signals and power. cable faults often occur due to drastic changes in temperature humidity the effects vibration. Obvious faults, such as open circuits short circuits, can be detected during maintenance. However, some soft like loose connection connector, damage insulation layer, improper bending radius cannot detected. Spread spectrum time domain reflectometry (SSTDR) is a diagnostic method for faults; however, amplitude...
This paper concerns a novel data-based policy iteration control method for discrete-time systems with disturbances. To avoid the need of system dynamic and state, new equation is constructed by using operation data. Based on this, we derive Bellman that can be applied to design model-free algorithm. For disturbances, transform <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_\infty $...
Abstract For the large equipment, system model is usually difficult to obtain, or changes slowly with running time. Therefore, some methods based on accurate are apply, such as wind turbine. data‐based robust value iteration method data studied for variable pitch control of turbine first time, which can deal uncertainty and do not require an model. First, a new data‐driven Bellman equation derived base operation data. Next, VI structure designed, free algorithm. Then, controller proposed,...
Rotor imbalances in wind turbines present safety risks and lead to economic losses, a method diagnose rotor is urgently needed. A diagnostic for proposed this paper. First, signal reconstruction proposed, novel index used determine the number of components decomposition order effectively address interference by noise on sensor. Second, an entropy calculation Gaussian kernel function replace fuzzy functions. The results indicate significant differences different types imbalances. Moreover, it...
Due to the assumption that VMD technique is essentially a set of adaptive Wiener filter banks and its performance depends large extent on preset parameter K (the number decomposition). A new method named resonance-based sparse variational mode decomposition (RSAVMD) proposed for planetary gearbox vibration signals. Tunable Q-Factor Wavelet Transform (TQWT) morphological component analysis (MCA) are introduced decompose original signal into high low resonance components. High components...
This paper investigates the problem of state feedback controller design for discrete-time Markovian jump systems (MJSs) with time delay and two Markov chains under partly known transition probabilities. First, by constructing improved Lyapunov-Krasovskii functional (LKF), utilizing properties that sum each row is one in a probability matrix some tractable linear inequalities (LMI), sufficient condition established such system consideration stochastically stable. Second, method...
This study designed two levels of quantitative fertilizer distribution to investigate precision fertilization applications in orchards South Xinjiang, China, which have vast rows and narrow plant spaces. The machine comprised a base frame, ditching device, fertilizing apparatus an earth-covering device. design parameters the flow stabilization screw, conveyor screw single-ring quantity were summarised using theoretical analysis. was verified via experiment by combining EDEM software....
T Virtual prototype simulation analysis based on 3D modeling software and dynamic is a high-efficiency low-cost product development model. The design assembly of the chassis mechanism weeding machine are carried out in drawing CATIA. imported into ADAMS constraints between components added to establish virtual for simulation. A variety convex terrains set ADAMS. curve data exported PostProcess module ADAMS, comparison established Origin analysis. results show that obstacle-crossing...
In this parer, a sliding mode control algorithm based on Takagi-Sugeno (T-S) fuzzy model for class of nonlinear systems is proposed. The system approximately represent by T-S with mismatched parameter uncertainties and time-varying delay. An asymptotically stable surface designed means linear matrix inequality (LMI). can compensate the effect in state. A robust controller to ensure existence overcome delay system. addition, novel reaching condition that obviously reduce chattering around...
This paper investigates the problem of sliding mode control (SMC) for one-sided Lipschitz (OSL) nonlinear Markovian jump systems with partially unknown transition rates. Unmatched norm-bounded uncertainties state matrices and output are considered. First, a suitable integral-type surface is proposed sufficient condition given such that dynamics stochastically stable an H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance level...