- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Distributed Control Multi-Agent Systems
- Iterative Learning Control Systems
- Neural Networks Stability and Synchronization
- Advanced Control Systems Optimization
- Adaptive Dynamic Programming Control
- Metallurgy and Material Forming
- Fault Detection and Control Systems
- Optimism, Hope, and Well-being
- Palliative Care and End-of-Life Issues
- Vibration and Dynamic Analysis
- Cancer survivorship and care
- Control Systems in Engineering
- Central Venous Catheters and Hemodialysis
- Control and Stability of Dynamical Systems
- Stoma care and complications
- Medical Research and Treatments
- Patient Dignity and Privacy
- Nutrition and Health in Aging
- Enhanced Oil Recovery Techniques
- Health and Well-being Studies
- Grief, Bereavement, and Mental Health
- Healthcare Education and Workforce Issues
- Water Quality and Pollution Assessment
Yanshan University
2015-2025
Institute of Electrical Engineering
2014-2025
Jiangsu Cancer Hospital
2007-2025
Nanjing Medical University
2018-2025
Chongqing Normal University
2024
University School
2023
NARI Group (China)
2023
Lanzhou University
2019-2022
Beihang University
2022
Nanjing Forestry University
2018-2021
This paper studies the problem of distributed output tracking consensus control for a class high-order stochastic nonlinear multiagent systems with unknown dead-zone under directed graph topology. The adaptive neural networks are used to approximate functions and new inequality is deal completely input. Then, we design controllers based on backstepping method dynamic surface technique. It strictly proved that resulting closed-loop system stable in probability sense semiglobally uniform...
This paper studies the dynamic output feedback tracking control problem for stochastic interconnected time-delay systems with prescribed performance. The subsystems are in form of triangular structure. First, we design a reduced-order observer independent time delay to estimate unmeasured state variables online instead traditional full-order observer. Then, new transformation is proposed consideration performance requirement. Using neural network approximate composite unknown nonlinear...
This paper studies the distributed adaptive fuzzy containment tracking control for a class of high-order stochastic pure-feedback nonlinear multiagent systems with multiple dynamic leaders and performance constraint requirement. The inputs are quantized by hysteresis quantizers. Mean value theorems used to transfer nonaffine into affine forms decomposition is employed solve input problem. With novel structure barrier Lyapunov function, strategy developed. It strictly proved that outputs...
This paper studies the problem of distributed output feedback consensus tracking control for leader–following non-linear multi-agent systems in strict-feedback form under a directed graph topology with prescribed performance requirement. The unknown external disturbances are considered followers. First, authors design reduced-order observers to estimate unmeasured state variables followers online. Then, novel controllers designed based on backstepping method. dynamic surface technique is...
In this article, the problem of adaptive decentralized control is investigated for a class interconnected time-delay uncertain nonlinear systems with different unknown directions and deferred asymmetric time-varying (DTV) full-state constraints. By constructing novel integral barrier Lyapunov function (TVAIBLF), conservative limitation constant (IBLF) or symmetric IBLF reduced need on prior knowledge gains also avoided, while constraints directly imposed states system are achieved by...
This paper investigates the dynamic event/self triggered full-state bipartite containment control for high-order nonlinear multi-agent systems (MASs) under switching topologies. Unlike existing related results, developed scheme not only solves problem, but also tolerates graph and even allows disconnection at certain time intervals. First, to estimate state of corresponding virtual leader, high-gain compensator observer are topology. Subsequently, by designing auxiliary variables, a...
Abstract This paper focuses on the control problem of time‐delay nonlinear high‐order fully actuated (HOFA) systems with unmodeled dynamics and unknown dead‐zone input. The primary objective this is to design an adaptive controller by using HOFA approach. To do so, we need tackle some technical obstacles. Firstly, in order deal systems, technique changing supply rate combined Secondly, inverse constructed compensate for influence asymmetrical input nonlinearity. Then, designed approach, it...
This brief focuses on the problem of prescribed-time mean-square control for uncertain stochastic high-order <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(p$ </tex-math></inline-formula> -normal) nonlinear systems. Compared to existing results, a more general model is considered. First, stable controller constructed with assistance power integrator technique, time-varying function and non-scaling...
Advanced manufacturing agglomeration (AMA) plays a significant role in supporting regional development, but few studies have examined it on geographic space. In this paper, the relationship between AMA and economic‒innovative‒social coupling coordination development (EISCCD) was studied spatially at fine-grained scale (500 m × 500 m), taking Liangjiang New Area (LJNA), China, as an example. The results showed that (1) spatial patterns of EISCCD LJNA were similar; (2) among four different...
China’s early achievement of carbon peaking is systematic and pioneering, driving energy economic transformation upgrading as well high-quality development under goal-oriented frameworks. Therefore, based on an extended Solow model, consumption dioxide emissions are incorporated into the model for empirical analysis to explore relationship between sustainable development. The study reveals that elasticity growth relatively significant, while acts a “negative input” growth, with significantly...
This paper studies the problem of decentralized adaptive output feedback fault detection and control for a class uncertain nonlinear interconnected systems. The K-filters are designed to estimate unmeasured state variables system. Moreover, built-in noise dampening filters introduced attenuate influence caused by measurement noises. Then scheme is proposed designing residual threshold signals. Subsequently, using backstepping design method, switched strategies with help neural network...
Colorectal cancer (CRC) is the third most common type of cancer. MicroRNAs have been reported to participate in progression various cancers. In previous studies, miR-301a-3p expression was shown be upregulated CRC tissues. However, underlying mechanism has not yet elucidated. Herein, level found significantly clinical tissues and cell lines (HT29 SW620). addition, overexpression obviously promoted proliferation, migration invasion, inhibited apoptosis cells. Meanwhile, also enhanced...
Providing satisfactory healthcare services for breast cancer survivors can effectively reduce their burden and the pressure on medical resources. The aim of this study was to explore health care service demands community-dwelling using Kano model.
Introduction The caring behavior of hospice nurses toward patients positively impacts their professional careers and significantly improves the quality services. A positive supportive work environment may protect against negative emotions that affect humanistic care they provide, job satisfaction. This study aimed to explore impact nursing on behavior. We also investigated chain mediating effect psychological capital empathy this relationship among Chinese nurses. Methods Practice...
This article investigates decentralized adaptive control for a class of unknown parameter-varying interconnected time-delay nonlinear systems subject to asymmetric full-state constraints. By innovatively constructing an exponential scaling function on system states and integral barrier Lyapunov (AIBLF), the can be directly constrained predesigned bounds rate convergence. Based congelation variables method, different time-varying parameters with mild requirement are well addressed, asymptotic...