百家乐怎么玩-澳门百家乐官网娱乐城网址_网上百家乐是不是真的_全讯网888 (中国)·官方网站

• Theme: Harnessing Nonlinearity for Transformative Engineering Innovation

We are pioneering a paradigm shift in engineering through the strategic employment of nonlinearity—establishing a groundbreaking theoretical and methodological framework for nonlinear design, analysis, and control. This novel approach has demonstrated profound enhancements in system performance, reliability, and energy efficiency across diverse engineering domains, including vibration suppression, energy harvesting, fault detection, robotic systems, propulsion mechanisms, and sensor technologies.

• Vision and Philosophy

Our central thesis posits that nonlinear dynamics are not merely challenges to be mitigated but powerful assets to be harnessed. We have committed ourselves to uncovering the fundamental principles and developing innovative methodologies that elucidate the intrinsic benefits of nonlinearity and provide actionable strategies for its integration into engineering systems.

This philosophy diverges sharply from conventional design and control paradigms, positioning our work at the forefront of applied nonlinear dynamics. Our contributions are substantiated by over 260 SCI-indexed publications with 7 Springer monographs, accumulating more than 14,000 citations and an H-index of 63 (Google Scholar), and are encapsulated in several authoritative Springer volumes. Several recent high-impact review articles further highlight our influence.

• Key Innovations

A. Nonlinear System Design Theory: 
We have identified and characterized a class of beneficial nonlinearities—nonlinear stiffness, damping, and inertia—that significantly enhance vibration control and other system behaviors. Our generic design methodology, known as the X-structure/mechanism method, enables systematic integration of these nonlinearities, driving continuous innovation and leadership in the field.

B. Nonlinear Analysis and Optimization Framework: 
To facilitate efficient nonlinear optimization, we developed a parametric characteristic approach - the nCOS function method - that directly links structural parameters to objective functions. This methodology represents a radical departure from traditional optimization techniques, offering superior clarity and computational efficiency.

C. Robust Nonlinear Control Theory: 
Our novel vibration control theory (i.e., Energy-saving robust control) achieves up to 80% energy savings without compromising performance, while dramatically reducing computational overhead compared to classical methods such as LQG, MPC, and other optimal control strategies.

D. Advanced Fault Diagnosis Methodology: 
By leveraging nonlinear dynamic features, we have created fault diagnosis techniques that are markedly more reliable and effective---The SOOS. These methods have broad applicability—from satellites and bridges to turbine blades and engines—and were recognized with the HKIE Best Paper Award in 2023.

E. Aquatic Robotics Innovation: 
Applying our nonlinear design principles to robotics, we have developed aquatic robots equipped with nonlinear propulsion systems that deliver superior thrust, agility, and energy efficiency in harsh aquatic environments. These innovations have secured substantial research funding and resulted in multiple patent filings.

I am welcoming R&D talents who share similar research interests to join us as PhD students, research assistants, or postdocs etc.

1. Y Chai, X Jing, Y Guo, A compact X-shaped mechanism based 3-DOF anti-vibration unit with enhanced tunable QZS property, Mechanical Systems and Signal Processing 168, 108651, 2022
2. MAA Abdelkareem, R Zhang, X Jing, X Wang, MKA Ali, Characterization and implementation of a double-sided arm-toothed indirect-drive rotary electromagnetic energy-harvesting shock absorber in a full semi-trailer truck suspension, Energy 239, 121976, 2022
3. Q Li, M Liao, X Jing, Transmissibility function-based fault diagnosis methods for beam-like engineering structures: a review of theory and properties, Nonlinear Dynamics 106 (3), 2131-2163, 2021
4. X Jing, Y Chai, X Chao, J Bian, In-situ adjustable nonlinear passive stiffness using X-shaped mechanisms, Mechanical Systems and Signal Processing, 108267, 2021
5. HT Li, H Ding, X Jing, WY Qin, LQ Chen, Improving the performance of a tri-stable energy harvester with a staircase-shaped potential well, Mechanical Systems and Signal Processing 159, 107805, 2021
6. X Feng, X Jing, Y Guo, Vibration Isolation With Passive Linkage Mechanisms, Nonlinear Dynamics, 1-37, 2021
7. M Li, X Jing, A bistable X-structured electromagnetic wave energy converter with a novel mechanical-motion-rectifier: Design, analysis, and experimental tests, Energy Conversion and Management 244, 114466, 2021
8. Y Tian, X Jing, A Novel Bio-Inspired Polygon-Shaped Passive Vibration Isolator, The International Conference on Applied Nonlinear Dynamics, Vibration and Control, Zhuhai, China, 2021
9. Q Liu, J Cao, F Hu, D Li, X Jing, Z Hou, Parameter identification of nonlinear bistable piezoelectric structures by two-stage subspace method, Nonlinear Dynamics 105 (3), 2157-2172, 2021
10. J Bian, X Jing, A nonlinear X-shaped structure based tuned mass damper with multi-variable optimization (X-absorber), Communications in Nonlinear Science and Numerical Simulation 99, 105829, 2, 2021
11. M Zhang, X Jing, Switching logic-based saturated tracking control for active suspension systems based on disturbance observer and bioinspired X-dynamics, Mechanical Systems and Signal Processing 155, 107611, 2021
12. D Guan, N Yang, J Lai, MFF Siu, X Jing, CK Lau, Kinematic modeling and constraint analysis for robotic excavator operations in piling construction, Automation in Construction 126, 103666, 2021
13. G Jiang, Y Wang, F Li, X Jing, An integrated nonlinear passive vibration control system and its vibration reduction properties, Journal of Sound and Vibration, 116231, 2021
14. M Zhang, X Jing, Energy-Saving Robust Saturated Control for Active Suspension Systems via Employing Beneficial Nonlinearity and Disturbance, IEEE Transactions on Cybernetics, 2021
15. M Zhang, X Jing, Adaptive Neural Network Tracking Control for Double-Pendulum Tower Crane Systems With Nonideal Inputs, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
16. Q Li, X Jing, A novel second-order output spectrum based local tuning method for locating bolt-loosening faults, Mechanical Systems and Signal Processing 147, 107104, 2021