A5101598591- Extremum Seeking Control Systems
- Advanced Control Systems Design
- Extenics and Innovation Methods
- Advanced Battery Technologies Research
- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Piezoelectric Actuators and Control
- Advanced Decision-Making Techniques
- Advanced Control Systems Optimization
- Hydraulic and Pneumatic Systems
- Evaluation and Optimization Models
- Iterative Learning Control Systems
- Shape Memory Alloy Transformations
Anhui University of Technology
2018
The Proportional-Integral-Derivative (PID) controller, a fundamental element in industrial control systems, plays pivotal role regulating an extensive array of controlled objects. Accurate and rapid adaptive tuning PID controllers holds significant practical value fields such as mechatronics, robotics, automatic control. three parameters the controller exert substantial influence on performance, rendering these area interest within related research fields. Numerous techniques are widely...
The essence of multi-state system performance degradation is a process deteriorating state transition. On the basis hidden Markov model and graphic evaluation review technique network, this article proposes new reliability assessment method called network for system. Specifically, nodes in represent states at different times, they can be expanded through series observable sequences. Baum–Welch algorithm introduced to train parameters when logarithmic likelihood function output reaches...
<p indent="0mm">The piezoactuated nanopositioning stage eliminates low-frequency errors in fly-cutting. Herein, a novel system modeling strategy is proposed for piezo-actuating units the stage, and disturbance rejection tracking control scheme designed accordingly. First, Gaussian mixture model (GMM) used inherent hysteresis characteristics of piezoelectric actuator. Based on this model, feedforward compensation performed to eliminate influence nonlinearity accuracy. Second, an extended...
Active vibration damping systems using PID controllers are widely applied in various industrial fields. The PID-controlled can realize depending on the appropriate parameters, which not that easy to choose practice. Therefore, adaptive tuning of controller parameters has been a focus research industry. We propose multi-level exploration framework leveraging reinforcement learning algorithm, enables for response excitations, achieving desired control effects. Without requiring prior...