This paper proposes a mixed generation portfolio model of hybrid energy generating station (HEGS) for standby emergency power supply (EPS). The HEGS functions as a mobile and transportable reserve power source for critical loads in case of electricity outages. In the proposed model, various renewable and non-renewable energy sources with different mobility, energy density and power density characteristics are integrated to form a sufficient and reliable hybrid energy EPS system, and the uncertainties of demand load, wind speed, solar radiation intensity, as well as solar cell temperature are modeled as interval numbers to formulate the optimal sizing problem of HEGS under uncertainty into a deterministic combinatorial optimization model. Furthermore, the multiobjective generation portfolio model of EPS configuration is also designed to generate Pareto frontier between implementation cost reduction and mobility improvement. Four generic evaluation metrics are formulated to evaluate the resulting generation-mix schemes of HEGS with case study demonstrated the effectiveness and superiority of the proposed model.

In this paper, we investigate stable state estimation and optimal attack schedule problems of the wireless Cyber-Physical Systems (CPS) with two sensors under Denial-of-Service (DoS) attack. At each sampling time, a DoS attacker can conduct jamming attack in a certain frequency band to jam the two wireless packet dropping channels and cause packet dropouts. Due to the different frequency bandwidths of the two channels, one and only one channel is jammed by the jamming attack at each time step. A sufficient condition is presented to ensure the stability of the state estimation based on the Kalman filter. And the optimal attack schedule, which maximizes the expected average estimation error at the remote estimator, is proposed in the viewpoint of the attacker. Moreover, when there is a special intrusion detection system (IDS) at the estimator, the optimal attack schedule is also provided. A numerical simulation is given out to illustrate the effectiveness of the obtained results. INDEX TERMS Cyber-physical systems (CPS), jamming attack, state estimation, optimal attack schedule, Kalman filtering.

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In this work, an event-triggered impulsive control (ETIC) method is proposed to address the input-to-state stabilization (ISS) issue for a class of nonlinear systems under external disturbance. Different from many existing impulsive controllers usually with fixed impulse instants, we design a novel one which is event-triggered and multimodule constrained. Based on that, we establish some ISS criteria for the considered system with and without data dropouts. The presented event-triggered control method can save the communication resources and avoid the Zeno behaviors. Finally, an example with simulations results is provided to illustrate the validity of the method.INDEX TERMS Impulsive control, event-triggered control, input-to-state stabilization, multimodule impulse, data dropouts.MENGLONG CAO received the B.S. degree in manufacturing process automation and the M.S. degree in control theory and control engineering from the