Periodic event-triggered observation and control for nonlinear Lipschitz systems using impulsive observers

2017 ◽  
Vol 27 (18) ◽  
pp. 4363-4380 ◽  
Author(s):  
Lucien Etienne ◽  
Stefano Di Gennaro ◽  
Jean-Pierre Barbot
Keyword(s):  
Lipschitz Systems ◽  
And Control ◽  
Event Triggered

scholarly journals Event–Triggered Observation of Nonlinear Lipschitz Systems via Impulsive Observers

2016 ◽  
Vol 49 (18) ◽  
pp. 666-671 ◽  
Author(s):  
Lucien Etienne ◽  
Stefano Di Gennaro
Keyword(s):  
Lipschitz Systems ◽  
Event Triggered

Event-triggered control of networked switched systems under network attacks

2021 ◽  
pp. 014233122110502
Author(s):  
Yuchen Han ◽  
Jie Lian
Keyword(s):  
Switched Systems ◽  
Denial Of Service ◽  
Average Dwell Time ◽  
Packet Transmission ◽  
Control Input ◽  
Dos Attack ◽  
Network Attacks ◽  
Probabilistic Characterization ◽  
And Control ◽  
Event Triggered

This paper is concerned with the event-triggered control (ETC) problem for switched systems in networked environments, which are suffered from denial-of-service (DoS) attack and deception attack. Considering that the packet in networked switched systems contains the sampled state and switching signal, DoS attack prevents the packet transmission to cause the zero input, while deception attack falsifies the packet to cause the asynchronous control input with nonlinear disturbance. First, the probabilistic characterization of invalid packet transmissions caused by two different attack models is constructed, namely the ratio of the number of packet transmissions suffering from network attacks to the total number of packet transmissions. Second, a suitable ETC scheme is designed to determine the next triggering instant, which guarantees that the value of Lyapunov function cannot exceed a given restriction and updates the control input at switching instant. After that, the average dwell time and control gains are designed to guarantee the almost sure asymptotic stability of such systems. Finally, a numerical simulation is given to verify the effectiveness of the theoretical results.

Model-based event-triggered adaptive formation control for underactuated surface vehicles via the minimal learning parameter technique

2021 ◽  
pp. 095965182110402
Author(s):  
Guoqing Zhang ◽  
Wei Yu ◽  
Jiqiang Li ◽  
Weidong Zhang
Keyword(s):  
Formation Control ◽  
Lyapunov Theory ◽  
Polar Coordinate System ◽  
State Variables ◽  
Model Based ◽  
Minimal Learning Parameter ◽  
Polar Coordinate ◽  
Learning Parameter ◽  
And Control ◽  
Event Triggered

This article presents an adaptive neural formation control algorithm for underactuated surface vehicles by the model-based event-triggered method. In the algorithm, the leader–follower structure is employed to construct the formation model. Meanwhile, two new coordinate variables are introduced to avoid the possible singularity problem that exists in the polar coordinate system. Furthermore, the event-triggered mechanism is developed by constructing the adaptive model in a concise form. Related state variables and control parameters are required to be updated only at the event-triggered instants. Thus, the communication load between the controller and the actuator could be effectively reduced. Besides, for merits of the radial basis function neural network and the minimal learning parameter techniques, only two adaptive parameters are employed to compensate for the effects of the model uncertainties and the external disturbances. With the Lyapunov theory, all signals in the closed-loop system are proved to be semi-global uniformly ultimately bounded. Finally, numerical simulations are conducted to illustrate the effectiveness and feasibility of the proposed algorithm.

A novel approach for event-triggered state-estimation of one-sided Lipschitz systems for efficient bandwidth utilization

2021 ◽  
Vol 40 (4) ◽  
Author(s):  
Muhammad Binyamin ◽  
Muhammad Tufail ◽  
Muhammad Rehan ◽  
Shakeel Ahmed ◽  
Keum-Shik Hong
Keyword(s):  
State Estimation ◽  
Bandwidth Utilization ◽  
Novel Approach ◽  
Lipschitz Systems ◽  
Event Triggered

scholarly journals Event-triggered Synchronization of Uncertain Delayed Generalized RDNNs

2021 ◽  
Author(s):  
Weiyuan Zhang ◽  
Junmin Li ◽  
Keyi Xing ◽  
Rui Zhang ◽  
Xinyu Zhang
Keyword(s):  
Reaction Diffusion ◽  
Delay System ◽  
Control Synthesis ◽  
Linear Matrix ◽  
Control Scheme ◽  
Halanay’S Inequality ◽  
Network Transmission ◽  
Inequality Techniques ◽  
And Control ◽  
Event Triggered

Abstract This paper investigates the exponential synchronization analysis of master–slave chaotic uncertain delayed generalized reaction-diffusion neural networks (GRDNNs) with event-triggered control scheme. A delay GRDNNs system model for the analysis is constructed by investigating the effect of the network transmission delay. By constructing a novel Lyapunov–Krasovskii functional and using a delay system approach for designing event-triggered controllers and some inequality techniques like Jensen’s inequality, Wirtinger’s inequality and Halanay’s inequality, the criteria are obtained for the event-triggered synchronization analysis and control synthesis of delayed GRDNNs. The synchronization criteria are formulated in terms of linear matrix inequalities. Finally, we conclude that the slave systems synchronize with the master systems. Two examples show the proposed theoretical results are feasible and effective.

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