Agriculture is one of the main economic pillars in many countries and regions, contributing significantly to the stable development of the national economy. However, the growth rate of agriculture is currently declini...
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In emotion recognition, the requirement for authenticity and real-time of the medium under study has always been a primary consideration. Thus electroencephalogram (EEG) is most suitable as the primary medium for emot...
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To improve the prediction accuracy of Extreme Learning Machine (ELM), this paper establishes a sequential ELM algorithm with a forgetting factor by applying exponential weighting to new and old sample data, and obtain...
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In this paper,the Nash equilibrium strategy of the H control problem is designed for continuous-time nonlinear systems by utilizing a novel adaptive dynamic programming（ADP） *** H control problem can be solved from ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this paper,the Nash equilibrium strategy of the H control problem is designed for continuous-time nonlinear systems by utilizing a novel adaptive dynamic programming（ADP） *** H control problem can be solved from the corresponding zero-sum game *** this task,a nonlinear partial differential Hamilton-Jacobi-Isaacs（HJI） equation is derived and is hard to be solved.A novel ADP method is designed to obtain the solution of the HJI *** echo state network（ESN） is utilized to approximate the critic function in the ADP *** ESN can decrease the complexity of designing the structure of the hidden layer.A simulation is given to verify the availability of the novel ADP method.
In this paper, an improved Gannet optimization algorithm (DDPSA-GOA) is presented. The Gannet optimization algorithm (GOA) was formed by mathematically studying the various foraging behaviors of Gannet. GOA has had be...
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This paper introduces an innovative approach to short text recognition, namely the Fusion of Text Word Frequency Features with Gated Neural Networks. Due to the limited and low inter-correlation of information in shor...
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Formation control of fixed-wing aerial vehicles is an important yet rarely addressed problem because of their complex dynamics and various motion constraints,such as nonholonomic and velocity *** guidance-route-based ...
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Formation control of fixed-wing aerial vehicles is an important yet rarely addressed problem because of their complex dynamics and various motion constraints,such as nonholonomic and velocity *** guidance-route-based strategy has been demonstrated to be applicable to fixed-wing ***,it requires a global coordinator and there exists control lag,due to its own *** this reason,this paper presents a fully distributed guidance-route-based formation approach to address the aforementioned ***,a hop-count scheme is introduced to achieve distributed implementation,in which each aircraft chooses a neighbor with the minimum hop-count as a reference to generate its guidance route using only local ***,the model predictive control algorithm is employed to eliminate the control lag and achieve precise formation shape *** addition,the stall protection and collision avoidance are also ***,three numerical simulations demonstrate that our proposed approach can implement precise formation shape control of fixed-wing aircraft in a fully distributed manner.
Dynamic adaptive streaming over HTTP can adaptively select the most appropriate video bitrate for video users. Mobile edge computing (MEC) can effectively improve video quality by providing computing and storage capab...
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During the motion of a robotic arm, its response speed and trajectory accuracy are crucial. This paper analyzes the control mode of the traditional PID controller, combines the principle of particle swarm algorithm, a...
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Microgrids, as self-contained energy systems, possess great potential in facilitating renewable energy consumption and optimizing energy structures. This paper introduces a model for energy dispatch in microgrids that...
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