Ping Zhao

This paper investigates the input‐to‐state practical consensus (ISpC) problem for a class of leader‐following switched positive nonlinear multi‐agent systems (MAS) with exogenous disturbances. First, a dedicated coordinate transformation is proposed to map the non‐origin equilibrium to the origin, which eliminates analytical complexity and simplifies the stability analysis framework for multi‐constraint coupling scenarios. On this basis, a synchronous event‐triggered impulsive control protocol is designed to update the control input only at triggering instants determined by a global event condition based on aggregated local state errors, significantly reducing communication and control resource consumption. By constructing a mode‐dependent max‐separable Lyapunov function and using the average dwell time (ADT) switching rule, a sufficient criterion is derived to ensure ISpC, which explicitly establishes the matching relationship between continuous dynamic growth and impulsive control attenuation. Meanwhile, full‐process state nonnegativity is strictly guaranteed via invariant set analysis, and Zeno behavior is rigorously excluded. Finally, simulations on two switched positive nonlinear MAS with essentially different nonlinearities (a rational subhomogeneous case and an exponential‐saturation smart‐logistics case) confirm the effectiveness and communication‐saving advantages of the proposed method, which reduces control updates by approximately 89% and 97.1%, respectively, compared with periodic impulsive control.

A distributed adaptive secure control algorithm is proposed for asynchronous switching nonlinear multi-agent systems (MASs) in pure-feedback form while considering the sensor attacks and actuator faults, which eliminates the effect of attack signals, actuator faults and uncertainties without knowing the sign of the control gain functions. Since the system states measured by the sensors are corrupted by the malicious attacker, only the post-attack system states can be obtained. Thus, an improved coordinate transformation is constructed by using the post-attack system states and a backstepping method based on the improved coordinate transformation is developed to solve the consensus tracking control problem of the researched systems under sensor attacks. The common Lyapunov function is designed to ensure the stability of all asynchronous switching subsystems of each agent. In the end, a simulation example is presented to illustrate the theoretical results’ validity. Note to Practitioners —This paper deal with the distributed adaptive secure consensus tracking control problem for asynchronous switching nonlinear MASs, whose models can describe many phenomena in nature such as biological processes, robot team formation and sensor networks. It is extremely challenging to achieve the tracking control problem of the researched asynchronous switching nonlinear system in an unsafe network environment, where the unknown sensor attacks signals, actuator faults coefficients, and randomly switched non-affine nonlinearities exist together for the followers. Furthermore, the control design and stability analysis of the researched system is based on the common Lyapunov approach, which makes the developed approach more engineering oriented.

The application of cyber‐physical systems (CPSs) in many areas is threatened by its embedded structure. This paper considers the design of an adaptive controller for linear CPSs against deception attacks. Specifically, a corrective signal is designed to suppress or offset the impact of sensor and actuator attacks, especially when the controller and the correction signal are also attacked. First, an adaptive controller is developed for time‐invariant deception attacks and further extended to time‐varying deception attacks. In each case, state‐independent sensor attacks and input‐independent actuator attacks, as well as state‐dependent sensor attacks and input‐dependent actuator attacks, are discussed. For the considered closed‐loop system with time‐invariant state‐dependent sensor attacks and input‐dependent actuator attacks, the controller the authors developed ensures the asymptotic stability of the systems. For the other three cases of the corresponding system, the controllers are also designed, which ensures uniform ultimate boundedness. Finally, several numerical examples are given to explain the availability of our control scheme.

This paper considers the problem of adaptive control against deception attacks for a class of switched nonlinear cyber-physical systems (CPSs), in which each subsystem has more general and unknown nonlinearities. Specifically, an adaptive controller is designed for CPSs with unknown switching mechanisms to mitigate the impact of state-dependent sensor attacks and input-dependent actuator attacks. Compared with the existing researches, the actuator attacks considered in our paper are input-dependent, which means the controller is substantially attacked, besides, the signs of unknown time-varying gains caused by state-dependent sensor attacks and input-dependent actuator attacks are all unknown. To deal with these scenarios, Nussbaum-type functions are introduced. In addition, by constructing a common Lyapunov function for all subsystems, the closed-loop system signals are proved to be globally bounded under arbitrary switchings. Finally, we give a simulation example of a continuously stirred tank reactor system with state-dependent sensor attacks and input-dependent actuator attacks to illustrate the effectiveness of our results.