New stability criteria and stabilization methods on networked control systems (NCSs) with short time-varying delay (STVD) are proposed in this paper. An NCS STVD is transformed into a discrete time system. And then, system converted equivalent time-invariant norm-bounded uncertainties by using robust techniques. Using method, the conservatism of condition caused can be reduced. Based that, single uncertainty replaced N to further reduce conservatism. Theoretical analysis shows that when...

This paper investigates non-fragile exponential H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control problems for a class of uncertain nonlinear networked systems (NCSs) with randomly occurring information, such as the controller gain fluctuation and nonlinearity, short time-varying delay via output feedback controller. Using nominal point technique, NCS is converted into novel discrete time model norm-bounded parameters reducing...

Summary This paper investigates the non‐fragile robust control problem for a class of nonlinear networked systems (NCSs) with long time‐varying delay. Both uncertain nonlinearity and controller gain fluctuation enter into system in random ways, such randomly occurring obey certain mutually uncorrelated Bernoulli distributed white noise sequences. A new discrete time model is proposed to describe NCS. To reduce conservatism arising from modeling parts, parts due delay are treated as...

Neural networks (NNs) in the stochastic environment were widely modeled as differential equations, which driven by white noise, such Brown or Wiener process existing papers. However, they are not necessarily best models to describe dynamic characters of NNs disturbed nonwhite noise some specific situations. In this paper, general disturbance, may be nonwhite, is introduced NNs. Since with cannot described Itô integral equation, a novel modeling method utilized. By framework light random...

Thamme Gowda, Zhao Zhang, Chris Mattmann, Jonathan May. Proceedings of the 59th Annual Meeting Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing: System Demonstrations. 2021.

Due to the lack of historical output data new wind farms, there are difficulties in scheduling and planning power grid scenario generation. The randomness uncertainty meteorological factors lead results traditional generation methods not having ability accurately reflect their uncertainty. This article proposes a RAC-GAN-based method for farm output. First, Pearson coefficient is adopted this screen obtain ones that have larger impact on output; Second, based obtained factors, Grey Relation...

For the issues of bamboo structure safety caused by parallel to culms axial shear, shear capacity test method is studied, finite element model based on brittle fracture mechanics proposed in work. The results calculated FEM are consistent with experimental results, and error 16% or less. established above can provide supports for wide engineering applications. developed has theory significance digital building optimal design.

This paper deals with the design problem of optimal robust non-fragile H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> state feedback controller for networked control systems (NCSs) uncertain time-delays and gain perturbations. First, a new method is presented, according to which NCS in one sampling period transformed into discrete linear system parameters. Second, considering perturbations, matrix inequality (LMI) technique, we...

A new method for precise machining non-cylinder pin hole of piston by using giant magnetostrictive smart component is presented. To eliminate the impact GMM hysteresis and nonlinearity, a real-time hysteretic compensation control strategy combining CMAC neural network feed forward controller sliding mode proposed to implement precision position tracking component. The input data are current output rate, input. inverse model achieved on-line learning. approximate error external disturbance...

A novel distributed power trade strategy is proposed to address the pricing problem for we-energy-based energy internet, considering psychological fluctuation caused by self-decision ability of we-energy during process buying and selling power. model presented based on optimization theory, which minimum generation cost internet can be achieved. Furthermore, accurately analyze bidding with disturbance resulted from each we-energy, multi-agent system an uncertainty function utilized. One...

Bamboo culms as a structural building material have many advantages, are the ideal for future green building, and increasingly brought to attention of industry. If it is widely recognized adopted by structure architecture, complete bamboo performance parameters, testing methods, application standards, digital design manufacturing methods needed. new type support, axial compression directly related safety bamboo-framed buildings. This paper aims study properties test failure was simulated....

Abstract This paper investigates a neural network adaptive controller design method for turbo‐generator of power systems with external disturbance, unknown system dynamic, prescribed performance, and actuator dead zone. First, the dynamic is estimated overcome through network. Using implicit function theorem, asymmetric dead‐zone behavior by another static Second, disturbance reconstruction error networks are handled robust term updated online. Moreover, there no requirement to pre‐know or...

Power load forecasting is an important part of modern smart grid operation management. Accurate guides the efficient and stable power system. In this paper, a fuzzy C-means clustering algorithm improved locally weighted linear regression model are proposed for short-term forecasting. First, used to cluster load. Make consumption behavior data same category similar use as training sample. Then, solve problem large calculation insufficient fitting model, k-nearest neighbor range constraint...

In order to suppress the bending vibration of a flexible hypersonic glide vehicle, an adaptive control approach based on moving horizon least square method is proposed in this paper. method, used estimate frequency that adopted by notch filter as central according input and output signal sampled gyroscopes. Simulation results show more accurate than traditional applying vehicle stable attitude system, which unstable without adaptation scheme.

In this paper, a color image encryption scheme based on 4D hyperchaos system and RSA algorithm is proposed. Firstly, used to generate the initial value of hyperchaotic system, key stream iteratively generated. Then, divided into RGB three channels. order change position pixels, Arnold scrambling performed image. Finally, simultaneous diffusion algorithms are encrypt preprocessed images for second time. Experimental results show that proposed in paper effective. Compared with existing...

As timepsilas going on, county pipespsila aging problem is even serious, and water providing capability coming down. Stochastic particle swarm optimization an improvement of the standard PSO, compared with which, it can be guaranteed to converge global solution probability one in theory, speed up convergence. By using this method pipe network inspection system, its running conditions will got generally betimes, accordingly, control source regulated for supplying industry citizen safely.

Due to the large-scale integration and high uncertainty of wind power, curtailment power happens from time time. To some extent, could be reduced by adjust short-term ultra-short-term dispatching systems. In this paper, a mathematic model dynamic economic dispatch (DED) is set up aiming reduce in Computation adjustment needed completed very short because it will carried out following one more hour. Therefore, technology heterogeneous computing introduced accelerate DED solving process...

This paper investigates non-fragile control problems for BIBO stability and stabilization of networked systems (NCSs) with short time-varying delays (STVDs). To reduce the conservativeness, a NCS STVDs is converted into discrete system norm-bounded uncertain parameters by using nominal point method. Based on small gain theorem, NCSs STVD are researched. Applying linear matrix inequality technique, design method controller presented. Finally, effectiveness proposed verified simulation example.