A5101803844- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Stability and Control of Uncertain Systems
- Neural Networks and Applications
- Iterative Learning Control Systems
- Control Systems in Engineering
- Innovative Teaching Methods
- Gear and Bearing Dynamics Analysis
- Online Learning and Analytics
- stochastic dynamics and bifurcation
- Technology-Enhanced Education Studies
- Hydraulic and Pneumatic Systems
- Mechanical Engineering and Vibrations Research
- Vehicle Dynamics and Control Systems
- Tribology and Lubrication Engineering
- Railway Systems and Energy Efficiency
- Control and Stability of Dynamical Systems
- Innovative Educational Techniques
- Advanced Computational Techniques and Applications
- Maritime Transport Emissions and Efficiency
- Nonlinear Dynamics and Pattern Formation
- Chaos control and synchronization
- Higher Education and Teaching Methods
- Railway Engineering and Dynamics
Southwest Jiaotong University
2021-2024
Hunan University of Technology
2018-2021
University of Minnesota
2014
Changchun University of Science and Technology
2011
Huangshi Central Hospital
2010
This article studies the stabilization to exponential input-to-state stability (ISS) via aperiodic intermittent control (APIC) for continuous-time systems. The is formulated as a problem of minimum activation time rate (MATR) nontrivial APIC. MATR investigated, respectively, time-triggered APIC (T-APIC) and event-triggered (E-APIC). T-APIC estimated criteria ISS are derived. Moreover, state dependent E-APIC proposed reduce conservativeness in algorithm given achieve stabilization. Finally,...
Considering the bending-torsional-axial-coupled vibration of helical gear transmission system, a 10 degrees freedom high-speed train system model, including motor and load, is established based on lumped parameter method. In addition, potential energy method slicing principle used to accurately calculate time-varying meshing stiffness gears. Furthermore, influence geometric parameters gears studied, impact further investigated. Meanwhile, by analyzing dynamic phenomena under different...
Abstract This paper studies the uniform synchronization for chaotic systems via event‐triggered aperiodic intermittent control (E‐APIC). A scheme E‐APIC is proposed master‐slave systems. Based on error state and three indices of threshold‐value, check‐period, control‐free index, designed achieved by such an E‐APIC. Also, a simplified derived letting index trend to zero. With respect uncertainties, strengthened be robust synchronization. Moreover, in order compare with schemes periodic (PIC),...
This paper presents robust position tracking control of an electro-hydraulic camless engine valve actuator with the reference time-varying frequency. The includes nonlinearities associated hydraulic flow and nonlinear friction. To retain such nonlinearities, stabilized is modeled as a block-structured system using Volterra series representation. For design, extended generating dynamics, which justified by frequency domain analysis feedback system, applied to based on internal model...
Based on contraction mapping principle, inequality technique, global exponential stability of a class BAM neural networks with distributed delays is considered. Some sufficient conditions are derived which ensure the existence, uniqueness, equilibrium points networks. Finally, obtained results demonstrated numerical example.
This paper studies the exponential stabilization issue for linear discrete-time delayed systems (L-DDS) by event- triggered control (ETC) . The ETC scheme is based on state feedback which updated when an event via a triggering condition. Under designed ETC, closed-loop L-DDS switched system with switchings driven events expressed condition of state. Criteria achieving derived. Thus achieved ETC. algorithm some discussions non-triviality are given improvement Finally, one example numerical...
High-precision tracking control is very important in high-speed train (HST) operation. This study proposes an adaptive global terminal sliding mode scheme based on limited error (AEG-SMC) for trajectory of HST. AEG-SMC firstly proposed the nonlinear dynamic system to improve accuracy and solve problem parameter uncertainty model. Then, uses method approximate uncertain parameters model obtain real-time estimation, index function given realise fast high-precision by (GSMC). able design...
By means of contraction mapping principle, inequality technique, global exponential stability a class BAM networks with delays is considered. Some sufficient conditions are obtained which ensure the existence, uniqueness, equilibrium point networks. Finally, numerical example discussed in this paper to illustrate advantage results we derived.
To train the innovative talents with abilities of independent-learning, innovation consciousness and ability, this manuscript constructs an experiment teaching mode that combines MOOCs chemical laboratory. Furthermore, we take “the design fluorescent sensor iron ion application” as specific case to propose implementation measures mode. The adopts inquiry learning on line (research background, rudimentary knowledge, operating skills), practices operation in Then, students research program...