A5101359858- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Adaptive Control of Nonlinear Systems
- Reinforcement Learning in Robotics
- Advanced Control Systems Design
- Fuzzy Logic and Control Systems
- stochastic dynamics and bifurcation
- Adaptive Dynamic Programming Control
- Crystallography and molecular interactions
Liaocheng University
2023-2024
Abstract This paper investigates the finite-time optimal synchronisation problem for leader-follower multiagent systems and its application to harmonic oscillator models. Neural networks are introduced fit nonlinear terms of multi-agent due existence unknown dynamics. In our designed framework, by modelling each agent as a resonator, their interactions environment can be shaped networked system. order achieve synchronised behaviour with neighbouring agents in network, an actor-critic...
In this paper, a fast finite-time control problem for class of high-order nonlinear multiagent systems (MASs) is researched. the design, radial basis function neural networks (RBFNNs) are used to approximate unknown dynamics, and an adaptive method developed in framework backstepping recursive design. Then, constructed new integral-type Lyapunov incorporation power integrator technique demonstrate stability convergence consensus tracking error closed-loop system.