scholarly journals Global Adaptive Consensus Control for Multiagent Systems with Predefined Accuracy

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Chunsheng Zhang ◽  
Jian Wu
Keyword(s):  
Multiagent Systems ◽  
Control Methods ◽  
Backstepping Technique ◽  
Consensus Control ◽  
Adaptive Controllers ◽  
Adaptive Tuning ◽  
Differentiable Functions ◽  
Control Scheme ◽  
The Neural Networks ◽  
Order Continuous

This paper addresses a consensus problem for uncertain nonlinear multiagent systems with predefined precision under disturbance. By employing the neural networks method and backstepping technique, adaptive controllers for each agent are created. In contrast to the exiting global control methods for multiagent systems, global precision consensus control scheme is first put forward. Moreover, by using three n th-order continuous differentiable functions, adaptive tuning laws and virtual controllers and the real controller are designed. It is proved that the presented method can ensure that all signals are globally bounded and systems can be consistent with a given accuracy under disturbance. Finally, a practical simulation verifies the correctness for the devised control protocol.

A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning

2020 ◽  
Vol 369 ◽  
pp. 124821 ◽  
Author(s):  
Zhinan Peng ◽  
Jiangping Hu ◽  
Kaibo Shi ◽  
Rui Luo ◽  
Rui Huang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Multi Agent Systems ◽  
Consensus Control ◽  
Agent Systems ◽  
Model Free ◽  
Control Scheme ◽  
Multi Agent ◽  
Bipartite Consensus

Data‐driven optimal event‐triggered consensus control for unknown nonlinear multiagent systems with control constraints

2019 ◽  
Vol 29 (14) ◽  
pp. 4828-4844 ◽  
Author(s):  
Huaipin Zhang ◽  
Ju H. Park ◽  
Dong Yue ◽  
Chunxia Dou
Keyword(s):  
Multiagent Systems ◽  
Data Driven ◽  
Control Constraints ◽  
Consensus Control ◽  
Event Triggered

NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

2007 ◽  
Vol 31 (1) ◽  
pp. 127-141
Author(s):  
Yonghong Tan ◽  
Xinlong Zhao
Keyword(s):  
Dynamic Systems ◽  
Control Strategy ◽  
Neural Modeling ◽  
Modeling And Control ◽  
Control Scheme ◽  
The Neural Networks ◽  
Adaptive Control Strategy ◽  
Set Up ◽  
Modeling Strategy ◽  
And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

Fault-Tolerant Formation Tracking Control for Heterogeneous Multiagent Systems with Directed Topology

2021 ◽  
Vol 01 (01) ◽  
pp. 2150001
Author(s):  
Jianye Gong ◽  
Yajie Ma ◽  
Bin Jiang ◽  
Zehui Mao
Keyword(s):  
Tracking Control ◽  
Formation Control ◽  
Control Algorithm ◽  
Fault Tolerant ◽  
Control Technique ◽  
Fault Estimation ◽  
Consensus Control ◽  
Formation Tracking ◽  
Control Scheme ◽  
Aerial Vehicle

In this paper, the adaptive fault-tolerant formation tracking control problem for a set of heterogeneous unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) systems with actuator loss of effectiveness faults is investigated. The cooperative fault-tolerant formation control strategy for UAV and UGV collaborative systems is classified into the altitude consensus control scheme for follower UAVs and the position cooperative formation control scheme for all followers. The altitude consensus control algorithm is designed by utilizing backstepping control technique to drive all UAVs to a desired predefined height. Then, based on synchronization formation error information, the position cooperative formation control algorithm is proposed for all followers to reach the expected position and perform the desired formation configuration. The adaptive fault estimation term is adopted in the designed fault-tolerant formation control algorithm to compensate for the actuator loss of effectiveness fault. Finally, a simulation example is proposed to reveal the validity of the designed cooperative formation tracking control scheme.

Consensus Control of General Linear Multiagent Systems With Antagonistic Interactions and Communication Noises

2019 ◽  
Vol 64 (5) ◽  
pp. 2122-2127 ◽  
Author(s):  
Jiangping Hu ◽  
Yanzhi Wu ◽  
Tao Li ◽  
Bijoy K. Ghosh
Keyword(s):  
Multiagent Systems ◽  
General Linear ◽  
Consensus Control ◽  
Antagonistic Interactions

scholarly journals Event-Triggered Consensus Control for Leader-Following Multiagent Systems Using Output Feedback

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yang Liu ◽  
Xiaohui Hou
Keyword(s):  
Multiagent Systems ◽  
Output Feedback ◽  
Output Signal ◽  
Internal State ◽  
Disturbance Attenuation ◽  
External Disturbances ◽  
Consensus Control ◽  
State Information ◽  
Leader Following ◽  
Event Triggered

The event-triggered consensus control for leader-following multiagent systems subjected to external disturbances is investigated, by using the output feedback. In particular, a novel distributed event-triggered protocol is proposed by adopting dynamic observers to estimate the internal state information based on the measurable output signal. It is shown that under the developed observer-based event-triggered protocol, multiple agents will reach consensus with the desired disturbance attenuation ability and meanwhile exhibit no Zeno behaviors. Finally, a simulation is presented to verify the obtained results.

scholarly journals Coordinated Frequency Control Strategy with the Virtual Battery Model of Inverter Air Conditionings

2019 ◽  
Vol 9 (15) ◽  
pp. 3052
Author(s):  
Jiafu Yin ◽  
Dongmei Zhao
Keyword(s):  
Control Strategy ◽  
Frequency Control ◽  
Hierarchical Control ◽  
Frequency Regulation ◽  
Consensus Protocol ◽  
Consensus Control ◽  
Response Characteristics ◽  
Battery Model ◽  
Control Framework ◽  
Control Scheme

Due to the potential of thermal storage being similar to that of the conventional battery, air conditioning (AC) has gained great popularity for its potential to provide ancillary services and emergency reserves. In order to integrate numerous inverter ACs into secondary frequency control, a hierarchical distributed control framework which incorporates a virtual battery model of inverter AC is developed. A comprehensive derivation of a second-order virtual battery model has been strictly posed to formulate the frequency response characteristics of inverter AC. In the hierarchical control scheme, a modified control performance index is utilized to evaluate the available capacity of traditional regulation generators. A coordinated frequency control strategy is derived to exploit the complementary and advantageous characteristics of regulation generators and aggregated AC. A distributed consensus control strategy is developed to guarantee the fair participation of heterogeneous AC in frequency regulation. The finite-time consensus protocol is introduced to ensure the fast convergence of power tracking and the state-of-charge (SOC) consistency of numerous ACs. The effectiveness of the proposed control strategy is validated by a variety of illustrative examples.

scholarly journals Consensus for Multiple Unmanned Surface Vehicle (Musv) Systems with Markov Switching Topologies

2019 ◽  
Vol 26 (1) ◽  
pp. 145-152
Author(s):  
Liyuan Wang ◽  
Wei Yue ◽  
Rubo Zhang
Keyword(s):  
Switching Network ◽  
Linear Matrix ◽  
Sampled Data ◽  
Consensus Control ◽  
Unmanned Surface Vehicle ◽  
Control Scheme ◽  
Random Switching ◽  
Leader Following ◽  
Network Topologies ◽  
Wave Induced

Abstract This paper is concerned with sampled-data leader following consensus of multiple unmanned surface vehicle (MUSV) systems with random switching network topologies and wave-induced disturbance. By modelling the switching of network topologies with the use of a Markov process and considering the effect of wave-induced disturbance, a new sampled-data consensus control protocol is proposed. By employing an appropriate Lyapunov-Krosovskii function method and the weak infinitesimal operation, a novel stability criterion is derived, which ensures that the MUSV system can reach robustly leader-following consensus with H∞ performance satisfied. Based on this criterion, the Markov dependent switching consensus controller gains are obtained by solving a set of linear matrix inequalities. Finally, an illustrative example is given to verify the effectiveness of the proposed control scheme for MUSV systems.

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