- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Microgrid Control and Optimization
- Iterative Learning Control Systems
- Control Systems and Identification
- Multilevel Inverters and Converters
- Fault Detection and Control Systems
- Power System Optimization and Stability
- Sensorless Control of Electric Motors
- Advanced DC-DC Converters
- Stability and Controllability of Differential Equations
- Magnetic Bearings and Levitation Dynamics
- Dynamics and Control of Mechanical Systems
- Control and Dynamics of Mobile Robots
- Robotic Path Planning Algorithms
- Frequency Control in Power Systems
- Control and Stability of Dynamical Systems
- Control Systems in Engineering
- Wind Turbine Control Systems
- Matrix Theory and Algorithms
- Electric Motor Design and Analysis
- Vehicle Dynamics and Control Systems
- Smart Parking Systems Research
- Drilling and Well Engineering
Chiba University
2016-2025
Huazhong Agricultural University
2024
Ministry of Education of the People's Republic of China
2023
Shandong Institute of Automation
2018
China University of Geosciences
2018
Nanjing Tech University
2018
An improved equivalent-input-disturbance (EID) approach is devised to enhance the disturbance-rejection performance for a strictly proper plant with state delay in modified repetitive-control system. A gain factor introduced construct an EID estimator. This increases flexibility of system design and enables adjustment dynamical disturbance rejection. Moreover, commutative condition, which widely used conventional estimator, avoided. Thus, it reduces conservativeness by removing constraints...
A robust tracking control method is presented in this paper for an uncertain plant with unknown state delay and exogenous disturbance. The effects of the uncertainties, delay, disturbance are treated as a total disturbance; thus, construction observer does not need information. system design divided into gains state-feedback controller well improved equivalent-input-disturbance (EID) estimator. pole-assignment used to simplified system. robust-stability condition form linear matrix...
Rate of penetration (ROP) optimization is crucial for drilling processes due to its vital role in increasing efficiency. This article proposes a new hybrid bat algorithm (HBA) achieve the maximum ROP accurately. A data-driven model established by combining wavelet filtering and optimized support vector regression according characteristics. After that, five modifications, namely, iterative local search, stochastic inertia weight, pulse rate loudness improvement, directional echolocation,...
In this paper, a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for multi-agent system with heterogeneous dynamic uncertainties and disturbances over directed graph. It of two-degree-of-freedom nature. Specifically, robust controller designed tracking, while estimator each agent without requiring the input channel information disturbances. The condition asymptotic derived. Moreover, even when model not exactly known, developed method also...
Summary This paper presents a disturbance‐rejection method for modified repetitive control system with nonlinearity. Taking advantage of stable inversion, an improved equivalent‐input‐disturbance (EID) estimator that is more relaxed design developed to estimate and cancel out the influence disturbance nonlinearity in low‐frequency domain. The high‐frequency filtered owning low‐pass nature linear part closed‐loop system. To avoid restrictive commutative condition choose Lyapunov function...
This article proposes a novel and easily implementable overcurrent suppression control for voltage-controlled virtual synchronous generators (VSGs). The VSG is vulnerable to grid voltage disturbances, such as dip/recovery, because it consists of source inverters (VSIs). In the worst case, caused by disturbance damages VSI. proposed can suppress not only symmetrical but also asymmetrical dip/recovery. key idea use voltages reference output voltage. requires no complicated analysis/tuning...
The burden distribution process is an important and efficient measure to maintain the stable operation of blast furnace. An accurate model will reveal impact on internal furnace state help optimize production index. This article reviews recent development modeling control techniques in process. current methods can mainly be divided into following types: mechanism-based method, physical scale model-based experiments data-driven method. However, most existing are not applicable general...
This study presents a two-dimensional (2-D) repetitive control method to address the issues of periodic tracking and disturbance suppression in uncertain Takagi–Sugeno systems. The uncertainty are treated as an equivalent-input-disturbance (EID). However, conventional EID estimators typically suppress through high gain. Meanwhile, low-pass filter associated with causes certain degree phase lag. A proportional–integral (PI) is integrated estimator develop PI-EID structure improve estimation...
We developed a new microfluidic printing technology for the fabrication of multi-signal 2D code patterns with structural colors and fluorescence properties, which may have potential applications in anti-counterfeiting optoelectronic fields.
In many real-world rotary machines, there is an inherent need to attenuate time-varying but position-dependent periodic disturbances. This article proposes improved repetitive controller, in which a spatial internal model, low-pass filter, and frequency alignment are synthesized. The controller digitally implemented uniform time-sampling system. Specifically, universal model of arbitrary signal domain derived for the attenuation disturbances machine, filter designed stability closed-loop...
Permanent‐magnet synchronous motors have attracted much attention due to their high efficiency and high‐torque density. For higher control performance, finite set model predictive (FCS‐MPC) continuous MPC (CCS‐MPC) been developed. However, the former requires computing power, whereas inverter voltage saturation is not considered in latter. Therefore, this study proposes an optimal current law taking into consideration output voltage. The effectiveness of proposed method verified by...
This paper introduces Multistep-ahead and Interpretable Sequential Modeling Scheme (MISMS), a pioneering approach for long-term dynamic forecasting that enhances model interpretability in process industries. MISMS is distinguished by its innovative integration of multivariate analysis, multistep-ahead forecasting, sequential interpretability. The scheme incorporates knowledge embedding Exploratory Data Analysis (EDA) to structure multiple variables extract their temporal attributes. Based on...
We study a stabilization problem for systems with quantized signals. propose encoding strategies three signals: the plant output, control input, and estimate of output. A controller generates output in addition to input then transmits their data quantization. obtain sufficient conditions local practical stability under bounded disturbances noise. first develop an method general stabilizing gains tailor it deadbeat gains. Finally, we illustrate proposed methods numerical simulations.
This paper proposes a novel coordinated control method of wind farms (WFs) and hydrogen production systems (HPSs). In grid-connected system where the WF HPS are connected to grid, can supply power producing in HPS. Moreover, output fluctuation be mitigated when produces from surplus. The purpose is smooth sufficiently, produce constantly, maintain high capacity factor proposed achieves mitigation key ideas 1) utilizing kinetic energy generators 2) virtual discharge components compensated by...
The original model-based wide-area damping control (WADC) is difficult to obtain good performance due the complex structure of interconnected power systems. In this paper, an improved data-driven model-free adaptive (ID-MFAC) algorithm proposed design WADC for systems with stochastic communication delays. First, multiple-input multiple-output system can be decoupled as multiple single-input single-output subsystems by considering controller interactions and disturbances. Second, a step-size...