Event-triggered control of vehicle platoon under deception attacks

Author(s):  
Kritika Bansal ◽  
Pankaj Mukhija

This paper addresses the issue of control of a vehicle platoon system with limited on-board energy and communication resources and subjected to cyber-physical attacks. A platoon model for the predecessor-leader following topology under the effect of cyber-attack and time-varying delay is developed. A stochastic type deception attack is considered in this paper at the sensor-controller end of a vehicle. The probability of occurrence of attack is represented using a random variable. In addition, to reduce the usage of resources in a system, a decentralized event-triggering communication mechanism is proposed where each vehicle can decide independently on when to transmit its state to the controller. Further, the criteria for co-designing of control law and triggering parameter ensuring internal stability of the platoon system is developed based on the proposed triggering mechanism. A condition to achieve string stability for the controller is also obtained. Further, to avoid the problem of Zeno phenomena, a lower bound on the transmission period is presented. The effectiveness of the proposed methodology is established through simulation example.

Author(s):  
Kritika Bansal ◽  
Pankaj Mukhija

This paper addresses the problem of control of a vehicular platoon system with limited on-board resources in the presence of time-varying delay and sensor faults. A platoon system with predecessor-leader following topology in which each vehicle suffers from probabilistic sensor faults and time-varying delay is considered. To reduce the utilization of communication and energy resources in the system, a novel event-triggering communication strategy at the sensor-controller channel is proposed. Based on the proposed triggering strategy, a criteria for co-designing of the triggering parameter and the control law ensuring internal stability of the platoon system is developed. Furthermore, additional conditions are established for the obtained controller to guarantee string stability of the platoon system. The efficacy of the proposed methodology is demonstrated through numerical simulations.


2017 ◽  
Vol 417 ◽  
pp. 236-246 ◽  
Author(s):  
Huiwei Liu ◽  
Hamid Reza Karimi ◽  
Shengli Du ◽  
Weiguo Xia ◽  
Chongquan Zhong

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Chao Sun ◽  
FuLi Wang ◽  
XiQin He

The problem of delay-dependent robust fault estimation for a class of Takagi-Sugeno (T-S) fuzzy singular systems is investigated. By decomposing the delay interval into two unequal subintervals and with a new and tighter integral inequality transformation, an improved delay-dependent stability criterion is given in terms of linear matrix inequalities (LMIs) to guarantee that the fuzzy singular system with time-varying delay is regular, impulse-free, and stable firstly. Then, based on this criterion, by considering the system fault as an auxiliary disturbance vector and constructing an appropriate fuzzy augmented system, a fault estimation observer is designed to ensure that the error dynamic system is regular, impulse-free, and robustly stable with a prescribedH∞performance satisfied for all actuator and sensor faults simultaneously, and the obtained fault estimates can practically better depict the size and shape of the faults. Finally, numerical examples are given to show the effectiveness of the proposed approach.


2021 ◽  
Vol 14 ◽  
Author(s):  
Wenjun Liu ◽  
Guang Chen ◽  
Alois Knoll

In this paper, we design a robust model predictive control (MPC) controller for vehicle subjected to bounded model uncertainties, norm-bounded external disturbances and bounded time-varying delay. A Lyapunov-Razumikhin function (LRF) is adopted to ensure that the vehicle system state enters in a robust positively invariant (RPI) set under the control law. A quadratic cost function is selected as the stage cost function, which yields the upper bound of the infinite horizon cost function. A Lyapunov-Krasovskii function (LKF) candidate related to time-varying delay is designed to obtain the upper bound of the infinite horizon cost function and minimize it at each step by using matrix inequalities technology. Then the robust MPC state feedback control law is obtained at each step. Simulation results show that the proposed vehicle dynamic controller can steer vehicle states into a very small region near the reference tracking signal even in the presence of external disturbances, model uncertainties and time-varying delay. The source code can be downloaded on https://github.com/wenjunliu999.


2010 ◽  
Vol 40-41 ◽  
pp. 103-110
Author(s):  
Jie Jin

This paper is concerned the problem of robust absolute stabilization of time-varying delay systems with admissible perturbation in terms of integral inequality. A linear state-feedback control law is derived for one class of delay systems with sector restriction based on linear matrix inequality (LMI). Especially, this method does not require input terms are absolutely controllable for nonlinear delay systems. Numerical example is used to demonstrate the validity of the proposed method.


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