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This paper constructs a novel consensus framework for continuous-time multi-agent systems by using motion planning approaches. In this framework, a novel notion, specifiedtime consensus, is raised. Specified-time consensus means that the consensus of multi-agent systems is achieving with a finite settling time, which can be accurately and arbitrarily pre-specified according to task requirements. In...
The health status assessment of power distribution areas (PDA) can provide a basis for the decision-maker to ascertain the unhealthy PDAs among multiple PDAs. In this paper, an evaluation indicator system of the health status of PDAs is established based on four evaluation indicators. A new data acquisition system is proposed in this paper to enhance the reliability of communication system. The evaluation...
This paper investigates the leader-following consensus problem of the switched multi-agent systems with general second-order dynamics. In the switched systems, we consider two subsystems, CT (continuous-time) subsystems and DT (discrete-time) subsystems. A linear distributed control algorithm is proposed for leader-following consensus in the multi-agent systems with switched dynamics. Moreover, based...
Based on the optimal firing density of the future airspace window theory, according to the principle that the actual projectile impact point error variance should be the same with the projectile impact point error variance under the theoretical optimal firing density, we put forward the construction method about the aiming point configuration of circle future airspace window. At the same time, by...
Failures exist ubiquitously in physical actuators, which usually are uncertain in time, pattern, and value. This effect would deteriorate system tracking performance, and even trigger instability. In this paper, we consider the problem of compensating for actuator failures by proposing a fuzzy control scheme for stochastic nonlinear systems. Comparison with existing research on stochastic nonlinear...
This paper proposes plume-tracing strategy for an autonomous underwater vehicle (AUV) in the deep-sea environment. In order to dynamically adapt the complex environment and optimize the policy during interaction, reinforcement learning (RL) with continuous state and action domain is applied in this problem. Different from traditional strategies which have predesigned and stationary actions, this learning-based...
Identifying the parking orbit after aerocapture can be an important aid for planet landing mission analysis and design. The objective of this paper is to present methods for computing a parking orbit to transfer a post-aerocapture orbit into it and deorbit from it to enter atmosphere with near minimum fuel consumption. This paper presents: 1) an approach to the solution of minimization of velocity...
Because of the complexity of crude oil flow, identification of gas-liquid two-phase flow pattern has not been completely solved nowadays. This paper proposed a new classification method of gas-liquid two-phase flow patterns using the sound signals produced by the ball impacting on the valve wall with fluid movement in a non-return valve. A visual detection system of gas-liquid two-phase flow was built...
At present, the detection of mixing uniformity in glass furnace batching system is mainly realized by artificial detection. However, this method is time-consuming and laborious, and there are some risks. For the problem of mixing uniformity detection, the nonlinear relation between the actual weight value and the mixing uniformity is established by the BP neural network, which can predict the mixing...
The power/signal synchronous transmission between converters has attracted much attention since no extra independent signal transmitting equipment is required. In this paper, bifurcation behaviors of a cascaded two-stage Buck-Boost converter are discussed by simplifying the second stage boost converter as constant power load. The amplitude variation of the bus voltage caused by bifurcation is used...
Path following is a fundamental problem for unmanned air vehicles (UAVs). In this paper, a Lyapunov stable path guidance law is designed to generate the course control command for a small UAV. The control parameters of the guidance law is optimized by the nonlinear model predictive control (NMPC) techinque. The relative simulations with the three different approaches: Lyapunov stable controller with...
According to the requirements of remote operation for searching radiation source robot, a remote terminal is designed. The micro controller with joysticks and buttons are used as input devices of remote terminal, and a tablet computer of the remote is the CPU for obtaining the commends from the micro controller, sending the commends to the mobile robot displaying the information from the mobile robot...
In the cloud computing environment, how to schedule tasks efficiently according to users' service requirements and improve the quality of service have become a hot research topic. Based on the research of independent task scheduling model and AMM algorithm (Average Minus Minimum), a new PAW(Priority, AMM and Weight)algorithm combined with Priority, AMM and Weight is proposed. Through quantifying task...
The interoperability testing of CTCS-3 Level Train Control System guarantees the safe operation of train running on different lines. It makes great sense to achieve automatic analysis of interoperability testing results, which could improve the efficiency and accuracy of testing. In this paper, a research was conducted on automatic analysis of testing results for on-board equipment of train control...
In a multi-energy microgrid system, meteorology factors can not only affect output of renewable resources, but also affect cooling and heating demand. Considering relationship of meteorology factors (solar insolation, wind speed, outdoor temperature) and cooling, heating, electricity demand of users in a multi-energy microgrid system, this paper proposes a model which can describe relationship between...
The tailsitter UAV has very broad application prospects. However, it needs to switch between flat and vertical flights, so the pitch angle will exceed 90°. Unfortunately, the traditional Euler angle calculation method is not only singular (gimbal lock) but is also not compatible with the navigation calculations in the two flight modes. Therefore, a new Euler angle calculation method for a UAV is proposed...
With the aid of double-controller design concept and particle swarm optimization (PSO) algorithm, an internal model control (IMC) scheme with two-degree-of-freedom (TDF-IMC) based on PSO algorithm (PSO-TDF-IMC) is proposed, which is capable of controlling large time-delay processes. This method takes integral time absolute error (ITAE) index as objective function and uses PSO algorithm to optimize...
This work investigates the adaptive finite-time tracking problem for a class of strict-feedback nonlinear systems with parametric uncertainties and symmetric constant output constraint. A tan-type Barrier Lyapunov Function (BLF) is proposed to ensure the boundedness of the output tracking error, and a new tuning function is given to eliminate the effect of uncertainties. It is theoretically shown...
In order to detect obstacles on the runway without the ground obstacle detection system, a vision-based autonomous detection scheme is proposed in this paper. An algorithm based on adaptive singular value decomposition and reconstruction (AS VDR) is adopted to identify and segment the runway region accurately by combining Canny operator edge detection algorithm and Hough line detection algorithm....
This paper considers the depth control problem of autonomous underwater vehicles (AUVs) in discrete time. A neural-network-based deterministic policy gradient (NNDPG) controller is proposed by combining the deterministic policy gradient theorem with neural networks. Two networks, evaluation network and policy network, are designed to respectively approximate the long-term cost function and policy...
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