Ning Zhou

ORCID: 0000-0002-0922-4954
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Research Areas
  • Adaptive Control of Nonlinear Systems
  • Microgrid Control and Optimization
  • Iterative Learning Control Systems
  • Power Systems and Renewable Energy
  • Piezoelectric Actuators and Control
  • Optimal Power Flow Distribution
  • Distributed Control Multi-Agent Systems
  • Shape Memory Alloy Transformations
  • Target Tracking and Data Fusion in Sensor Networks
  • Intermetallics and Advanced Alloy Properties
  • Islanding Detection in Power Systems
  • Adhesion, Friction, and Surface Interactions
  • Control Systems and Identification
  • Electrical Contact Performance and Analysis
  • Magnetic Properties and Applications
  • Spacecraft Dynamics and Control
  • Inertial Sensor and Navigation
  • Space Satellite Systems and Control
  • UAV Applications and Optimization
  • Fault Detection and Control Systems
  • Traffic Prediction and Management Techniques
  • Power System Optimization and Stability
  • Mechanical stress and fatigue analysis
  • Advanced Control and Stabilization in Aerospace Systems
  • Robotic Locomotion and Control

Nanjing University of Science and Technology
2022-2024

Hebei University
2024

Southwest Jiaotong University
2024

Jilin University
2024

Binghamton University
2022

Lanzhou Jiaotong University
2018

Fujian Agriculture and Forestry University
2018

Pacific Northwest National Laboratory
2011

In this brief, a disturbance observer based prescribed-time tracking control strategy is proposed for class of high-order nonlinear systems with non-vanishing uncertainties. A finite time function firstly introduced to facilitate the and controller design. Then, constructed estimate compensate uncertainties, which ensures that estimation error converges zero in prescribed time. Based on backstepping design framework, further designed form scaling error. Theoretical analysis reveals achieves...

10.1109/tcsii.2024.3358192 article EN IEEE Transactions on Circuits & Systems II Express Briefs 2024-01-24

Parametric uncertainties and unmodeled disturbances limit the tracking performance improvement of DC motor systems. In this paper, a third-order continuous adaptive integral recursive terminal sliding mode (3-AIRTSM) control scheme is formulated for high-performance motion motors. The residual parameter are synthesised as lumped uncertainties. Then, derivative analysed whose upper bound denoted by system state signal dependent terms with unknown coefficients. Meanwhile, novel structure...

10.1080/00207179.2022.2086928 article EN International Journal of Control 2022-06-08

Each balance authority (BA) in a grid conforms to schedule that sets forth how much capacity will be allowed pass through the area at given times of day. However, because wind generation is variable and non-dispatchable source energy, it causes additional unscheduled deviation interchange complicates problem system balancing. Thus, BAs need procure more fast regulation meet Control Performance Standards (CPS) requirements. A fast-response storage device with appropriate duration effective...

10.1109/psce.2011.5772578 article EN IEEE PES Power Systems Conference and Exposition 2011-03-01

A novel cellular learning automaton traffic flow model is proposed to solve the problem that probability of randomization in NaSch not consistent with actual traffic. The mechanism introduced this model. Cellular can learn information from neighbors real time. environment information, such as, relative speed and safety distance will be parallel ruler through form after learning. Finally numerical simulation, space-time characteristics were obtained, comparison analyzed. results show improved...

10.1109/irce.2018.8492922 article EN 2018-08-01

Abstract This article investigates an event‐triggered adaptive estimated inverse control scheme for uncertain nonlinear systems with hysteresis effects, parametric uncertainties, and unknown disturbances. An online compensation mechanism is developed, in which technique designed to obtain the value of parameters. Compared common approaches, its biggest advantage lies fact that it eliminates need experimental determination parameters, thereby reducing time‐consuming offline identification...

10.1002/rnc.7352 article EN International Journal of Robust and Nonlinear Control 2024-04-05

Abstract In this paper, a novel trajectory tracking control problem of the quadrotor UAV is addressed, which considers system uncertainties and unknown external disturbances meanwhile. To ensure rapid convergence rate states, fast terminal sliding mode (FTSMC) algorithm improved combining with fractional order method. addition, finite‐time observer designed to handle enhance robustness system. The closed‐loop stability established using Lyapunov theory in accordance law. evaluate...

10.1002/asjc.3531 article EN Asian Journal of Control 2024-10-30

In this paper, partial transient liquid phase (PTLP) diffusion bonding between Si3N4 ceramics and Ht250 cast iron was carried out by using an Ti/Cu/Kovar/Cu/Ti interlayer. The effects of the heating temperature holding time on microstructure, formation mechanism, mechanical properties Si3N4/Ht250 joints were studied. results show that maximum shear strength joint is 112 MPa when welding 1000 °C 1 h. addition, problems Ti/Cu/Ti intermetallic compound Cu/Si3N4 ceramic residual thermal stress...

10.3390/ceramics5030029 article EN cc-by Ceramics 2022-07-31

An adaptive estimated inverse control methodology for a class of uncertain nonlinear system subjected to unknown Prandtl-Ishlinskii (PI) hysteresis nonlinearity is studied in this paper. The largest difficulty the compensation mechanism lies that its parameters are hard determine. To obviate such obstruction, online by techniques together with parameters. Thus, effects as well parameter uncertainties can both be suppressed without time-consuming off-line identification. Meanwhile, tracking...

10.1109/smc53992.2023.10394652 article EN 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023-10-01

Accurate estimation of the dynamic states a synchronous machine (e.g., rotor s angle and speed) is essential in monitoring controlling transient stability power system. It well known that covariance matrixes process noise (Q) measurement (R) have significant impact on Kalman filter performance estimating states. The conventional ad-hoc approaches for are not adequate achieving best filtering performance. To address this problem, paper proposes an adaptive approach to adaptively estimate Q R...

10.48550/arxiv.1702.00884 preprint EN other-oa arXiv (Cornell University) 2017-01-01

<pre>The retirement of conventional synchronous generators and the integration inverter-based renewable energy sources (RESs) are transforming power systems in unprecedented ways. Understanding impact consequences this resource mix transition is crucial to maintaining reliable grid operations. Aiming at this, paper examines increasing RESs on oscillatory behavior U.S. Western Interconnection (WI). Two approaches were used for performing assessment: measurement- model-based. In...

10.36227/techrxiv.19765603.v1 preprint EN cc-by 2022-05-17

Abstract A high proportion of new energy equipment brings problems such as increased power source uncertainty and weaker moment inertia to the grid. Through large-scale grid simulation with refined models equipment, potential risks can be discovered security effectively improved. The modeling accuracy model affects large In order solve problem model, a semi-physical platform close actual is used carry out simulations different working conditions. Based on ADPSS, electromagnetic dual-motor...

10.1088/1742-6596/2310/1/012078 article EN Journal of Physics Conference Series 2022-10-01
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