A5100700248- Neural Networks Stability and Synchronization
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Distributed Control Multi-Agent Systems
- Iterative Learning Control Systems
- Stability and Controllability of Differential Equations
- Nonlinear Dynamics and Pattern Formation
- Advanced Memory and Neural Computing
- Advanced Algorithms and Applications
- Neural Networks and Applications
- Adaptive Dynamic Programming Control
- Advanced Control Systems Optimization
- Industrial Technology and Control Systems
- Chaos control and synchronization
- Anesthesia and Sedative Agents
- Advanced Control Systems Design
- Advanced Sensor and Control Systems
- Matrix Theory and Algorithms
- Fractional Differential Equations Solutions
- Mathematical and Theoretical Epidemiology and Ecology Models
- Functional Brain Connectivity Studies
- Fuzzy Logic and Control Systems
- Plant Virus Research Studies
- Advanced Mathematical Modeling in Engineering
- Piezoelectric Actuators and Control
Xidian University
2016-2025
Xihua University
2012-2025
Hefei National Center for Physical Sciences at Nanoscale
2024-2025
University of Science and Technology of China
2022-2025
State Grid Corporation of China (China)
2024
Henan University of Technology
2024
Ningbo University
2021-2023
Beijing University of Chemical Technology
2022-2023
Sichuan University
2012-2023
Jilin University
2023
In this paper, an adaptive neural controller for a class of time-delay nonlinear systems with unknown nonlinearities is proposed. Based on wavelet network (WNN) online approximation model, state feedback obtained by constructing novel integral-type Lyapunov-Krasovskii functional, which also efficiently overcomes the singularity problem. It shown that proposed method guarantees semiglobal boundedness all signals in closed-loop systems. An example provided to illustrate application approach.
Abstract In this paper, the decentralized adaptive neural network (NN) output‐feedback stabilization problem is investigated for a class of large‐scale stochastic nonlinear strict‐feedback systems, which interact through their outputs. The interconnections are assumed to be bounded by some unknown functions system each subsystem, only NN employed compensate all upper bounding functions, depend on its own output. Therefore, controller design subsystem need information and more simplified than...
SUMMARY In this paper, an efficient framework is proposed to the consensus and formation control of distributed multi‐agent systems with second‐order dynamics unknown time‐varying parameters, by means adaptive iterative learning approach. Under assumption that acceleration leader any follower agents, a new auxiliary protocols are designed. Then, all agents track uniformly on [0, T ] for problem keep desired distance from achieve velocity problem, respectively. The coordinations performance...
Three hydrophobic microporous high-silica zeolites, DDR (with an 8-membered ring), silicalite-1 (a 10-membered and beta 12-membered ring) were synthesized. The Si/Al ratios 230, 1350, 35, respectively. samples characterized by X-ray diffraction, scanning electron microscopy, thermal gravimetric analysis, water vapor adsorption, volumetric nitrogen adsorption. They tested for their CO2, CH4, N2 adsorption properties at pressures of up to 10 bar 288–313 K after activation, the results...
Ciprofol is a new intravenous anesthetic agent similar to propofol that has the pharmacodynamic characteristics of rapid rate onset and recovery in pre-clinical experiments. The aims present clinical trials were compare efficacy safety ciprofol emulsion for sedation or general anesthesia during colonoscopy define optimal doses subsequent phase III trial.A IIa multi-center, open-label, non-randomized, positive control, dose-escalating study was performed determine recommended IIb dose (RP2D)...
This paper investigates the global consensus problems for first-order and second-order unknown nonlinear multiagent systems (MASs) with uncertain input disturbance. Fuzzy logic are applied to solve problem MASs. A fully distributed adaptive fuzzy control is designed enable followers asymptotically track leader without using any dynamics of leader. The conditions also derived MASs, which overcomes drawback semiglobal in existing literature. It worth mentioning that proposed approach can...
To balance the ionic conductivity and dimensional stability of anion-exchange membranes (AEMs), several cross-linked ether-free poly(terphenyl isatin piperidinium) copolymers were synthesized using 1,2-bis(2-aminoethoxy)ethane as a cross-linker. By introducing an alkyl diamine-based hydrophobic cross-linker control, effects dipolar-molecule-containing on comprehensive performance investigated. Cation-dipole interactions between cations hydrophilic ethylene oxide enhance self-assembly...
Abstract Background Ciprofol is a novel 2, 6-disubstituted phenolic derivative anesthetic that binds to the gamma-aminobutyric acid-A receptor. Aim To determine equally potent dose of ciprofol compared with propofol as an induction agent for general anesthesia in patients undergoing selective surgery, and assess its safety. Method A total 109 non-emergency, non-cardiothoracic or non-neurosurgical surgery requiring tracheal intubation were enrolled. Ten per group assigned ciprofol-0.3, 0.4...
Abstract A globally stable decentralized adaptive backstepping neural network tracking control scheme is designed for a class of large‐scale systems with mismatched interconnections. Under the assumption that subsystems share reference signals from other subsystems, networks are used to approximate unknown interconnections dependent on all such NN approximation domain can be determined priori based bounds signals. The proposed approach guarantee closed‐loop uniformly ultimately bounded and...
In this study, a new consensus problem is introduced for leader–follower multi-agent systems with non-linearity and distributed adaptive iterative learning control presented the problem. With dynamic of leader unknown to any agent, proper protocol guarantees that follower agents can track leader. The analysed based on Lyapunov stability theory. Finally, simulation examples are given illustrate effectiveness proposed method in study.
A quantized iterative learning control (QILC) for continuous-time multi-agent systems with finite-leveled sigma- delta (ΣA) quantization and random packet losses is first proposed in this paper. To realize the digital communication between signals utilize limited bandwidth effectively, we introduce ΣA quantizer data rate (quantization bits) into field design of QILC In addition, are also considered QILC, which makes controller more close to practical engineering applications. Since...