- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Advanced Control Systems Design
- Advanced Algorithms and Applications
- Control Systems and Identification
- Stability and Control of Uncertain Systems
- Iterative Learning Control Systems
- Extremum Seeking Control Systems
- Industrial Technology and Control Systems
- Neural Networks Stability and Synchronization
- Advanced Multi-Objective Optimization Algorithms
- Bayesian Modeling and Causal Inference
- Nonlinear Dynamics and Pattern Formation
- Machine Fault Diagnosis Techniques
- Probabilistic and Robust Engineering Design
- Process Optimization and Integration
- Heat Transfer and Optimization
- Blind Source Separation Techniques
- Metaheuristic Optimization Algorithms Research
- Real-time simulation and control systems
- Approximation Theory and Sequence Spaces
- Chaos control and synchronization
- Railway Systems and Energy Efficiency
- Refrigeration and Air Conditioning Technologies
- Frequency Control in Power Systems
Donghua University
2009-2024
China University of Petroleum, Beijing
2019
University of Maribor
2015
Michigan State University
2009
Shanghai Jiao Tong University
2004-2005
Abstract In this paper, finite‐time state estimation and control problems are considered for high‐speed train systems. First of all, dynamic error systems the trains modeled as nonlinear with time‐varying delays disturbances. Secondly, estimators controllers designed systems, a combined feedback structure is obtained. Then based on Lyapunov stability theory theory, bounded conditions Finally, feasibility method proved by example.
In the present work, authors suggest two methods using bubble electrospinning to fabricate aligned nanofibres by changing collector electrode from a traditional metal plate into single thin cylindrical or electrodes respectively collect produced nanofibres. both cases, are fabricated successfully.
The paper reports findings of investigating optimal interface material parameters product handle to improve its ergonomics by increasing the user performance, comfort, and lower risk cumulative trauma disorder development.Optimisation methods in combination with finite element computer simulations a human fingertip whilst grasping were used determine an foam properties for best mechanical behaviour system.A single objective function was defined material, which has remain firm during low...
This paper studies the closed-loop system identification (ID) error when a dynamic integral controller is used. Pseudo-random binary sequence (PRBS) q-Markov covariance equivalent realization (Cover) used to identify model, and open-loop model obtained based upon identified model. Accurate models were using PRBS Cover ID directly. For ID, accurate with proportional controller, but was used, low-frequency found. study suggests that extra caution required for identification. The framework also...
Abstract In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed focuses on the moisture-controlled feasible regions with two levels according to priority. This study aims provide novel technical support for chemical industry contained drying order alleviate lack degree freedom system, strict set-point control is given, meanwhile, other adopt zone control. Firstly, are optimized ascending Secondly,...
The combination design of predictive functional control and PID method (PFC-PID) for liquid level industrial coking equipment is presented. target to maintain the a fractionating tower within set range by manipulating fluid flow into furnaces, while rejecting effect disturbances. proposed selects simple structure modification classical scheme improve performance. Results compared with traditional under similar conditions are improved. Application on real plant also described, demonstrating...
The sufficient conditions of stability for discrete-time linear systems with time delay have been proposed by some researchers in the past few years, yet these results may be conservative application. In this paper, analysis is discussed, and necessary condition derived method other than constructing Lyapunov function solving Riccati inequality. root locations system characteristic polynomial, which obtained augmentation approach Laplace expansion, determine delay, being stable if only all...
Learning the high-accuracy parameter of Bayesian Network (BN) is a key challenge in decision support applications, especially when available data limited. A conventional way to address this introduce prior knowledge that eliminates disadvantages information weakness. In paper, we focus on class monotonic constraints are encoded as entropy. First, learning problem transformed into constraintproblem among node parameters based known network by analyzing monotonicity BN depth. Furthermore,...
In this paper, the particle swarm (PSO) algorithm is used to tune parameters of fractional-order PID controller, and controller after tuning control system integer-order system. The experimental results show that performance very good. also applied research inverted pendulum system, effect greatly improved.
In this paper, a new method for computation of all stabilizing PI controllers is given. The based on the plant model in time domain and by using extraordinary feature results from Kronecker sum operation, proposed finding explicit equation control parameters defining stability boundary parametric space. Beyond stabilization, used to shift poles shifted half plane that guarantees specified settling response. region PID given (k <inf xmlns:mml="http://www.w3.org/1998/Math/MathML"...