A5008943860- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Advanced Memory and Neural Computing
- Iterative Learning Control Systems
- Polysaccharides Composition and Applications
- Food composition and properties
- Adaptive Control of Nonlinear Systems
- Nonlinear Dynamics and Pattern Formation
- Genetic factors in colorectal cancer
- Mathematical and Theoretical Epidemiology and Ecology Models
- Nanocomposite Films for Food Packaging
- MicroRNA in disease regulation
- Advanced Control Systems Optimization
- Advanced Cellulose Research Studies
- Cancer Immunotherapy and Biomarkers
- Advanced Numerical Analysis Techniques
- Plant biochemistry and biosynthesis
- Matrix Theory and Algorithms
- Antioxidant Activity and Oxidative Stress
- Proteins in Food Systems
- Control Systems in Engineering
- Security in Wireless Sensor Networks
- RNA modifications and cancer
- Advanced Algorithms and Applications
- Biofuel production and bioconversion
Xidian University
2015-2024
Kunming Medical University
2022-2023
Purdue University West Lafayette
2017-2020
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...
Abstract Background The objective response rate of microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) patients with first-line anti-programmed cell death protein-1 (PD-1) monotherapy is only 40–45%. Single-cell RNA sequencing (scRNA-seq) enables unbiased analysis the full variety cells comprising tumor microenvironment. Thus, we used scRNA-seq to assess differences among microenvironment components between therapy-resistant and therapy-sensitive groups in...
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.
To explore the efficacy and safety of single-agent programmed cell death protein-1 (PD-1) inhibitor in neoadjuvant treatment patients with mismatch repair-deficient (dMMR) or microsatellite instability-high (MSI-H) locally advanced colorectal cancer (LACRC) through single-center large⁃sample analysis based on real⁃world data China.This study was a retrospective, single-center, case series study. 33 (CRC) clinical stage T3~4N0~2M0 treated Yunnan Cancer Hospital from June 2019 to 2021 were...
This article investigates the consensus problem of mixed-order nonlinear multiagent systems (MASs). First, a new research framework control for MASs with hybrid-order dynamics is established. In this framework, order low-order dynamic subsystems increased to higher-order by means increasing technology, so that can be changed into same-order MASs. Thus, distributed controller designed using method Second, through case study stochastic mixed first- and second-order MASs, further expounds...
In this paper, the adaptive fuzzy iterative learning control scheme is proposed for coordination problems of Mth order (M ≥ 2) distributed multi-agent systems. Every follower agent has a higher integrator with unknown nonlinear dynamics and input disturbance. The leader are systems only available to portion agents. With initial state learning, unified protocols combined time-domain iteration-domain laws guarantee that agents track uniformly on [0, T]. Then, algorithm extends achieve...
Abstract Granule size distribution of 8% w/w suspension normal rice starch (NRS), waxy (WRS), modified potato (MPS), and (NPS) in water when subjected to heating at 60, 65, 70, 75, 80, 85°C different hold times (0–60 min) were characterized. The average granule diameter was larger higher temperatures for NRS, WRS, MPS indicating swelling, whereas NPS it decreased breakage. Swelling varied the order: > NRS WRS. Earlier proposed pseudo first‐ second‐order kinetic Weibull models swelling...
This paper investigates the consensus problem for linear multi-agent systems from viewpoint of two-dimensional when state information each agent is not available. Observer-based fully distributed adaptive iterative learning protocol designed in this paper. A local observer and it shown that without using any global about communication graph, all agents achieve perfectly undirected connected graph number iterations tends to infinity. The Lyapunov-like energy function employed facilitate...
Marigold petals, the current commercial source for lutein and zeaxanthin are harvested through a labor-intensive operation with downstream purification requiring multiple processing steps involving various harsh solvents. Lutein in-demand carotenoids due to their significant role in human eye health. A possible alternative zeaxanthin, distillers dried grain solubles (DDGS), shows promise contains yet-to-be quantified amount of desired carotenoids. The US corn industry produces an abundant,...
Background: Colorectal cancer (CRC) is the third most common and one of leading causes death worldwide. Seriously threatens human life health. Previous studies have identified that inhibin βA (INHBA) could induce tumorgenesis progression CRC through regulation TGF-β/Smad signal axis. The abnormal expression INHBA related to poor prognosis patients. aim this study was identify molecular mechanism HNF1A-AS1 miR-214 regulating carcinogenesis bioinformatics combined with experiments. Methods:...
In this paper, we propose an iterative learning control (ILC) for the consensus of multi-agent systems in a very general framework where position and velocity interactions among agents are modeled by independent graphs. A class distributed protocol is constructed as algorithm. Assuming that leader node globally reachable under topologies, sufficient condition to guarantee derived directed communication topologies. Further, proposed scheme also extended achieve formation systems. Simulation...
In this paper, linear quadratic regulator (LQR) theory is applied to solve the inverse optimal consensus problem for a second-order multi-agent systems (MAS) under independent position and velocity topology. The Laplacian matrices related topologies of are derived by solving algebraic Riccati equation (ARE). Theoretically, we obtain matrices, which correspond directed strongly connected graphs, systems. Finally, two simulation examples provided verify theoretical analysis paper.
In this paper, a consensus problem for nonlinear multi-agent systems is considered in the presence of quantized measurement. The dynamic each agent first-order linearly parameterized system with non-identical unknown parameter. It known that linear can be solved based on node state information, and equivalent results obtained via edge Laplancian approach. However, such an "equivalent phenomenon" does not necessarily apply to Thus, overcome problem, we will explore utility Laplacian designing...