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Financial time series prediction is remains a challenge, due to the nonstationary and fuzziness financial data. In this paper, we propose and achieve a hybrid financial time series model by combining the Maximum Entropy (ME), Support Vector Regression (SVR) and Trend model based on Artificial neural networks (ANNs) for forecasting financial time series. The method contains three steps. The first step...
This paper proposes a novel estimation method using finite impulse response (FIR) filter for the vehicle roll and bank angles. A vehicle model was constructed using the bicycle model and roll motion model and has parameter uncertainties. The proposed method ensures robust to vehicle parameter uncertainties and has no risk of divergence. Furthermore, the proposed method does not need to use expensive...
This paper deals with the problem of neural network delay control for an idealized offshore platform system. Two neural networks (feed-forward neural network and nonlinear autoregressive neural network) delay controllers are proposed to the vibration control of the offshore platform under external wave force. It is shown through simulation results that the designed neural network delay controllers...
Reactor, Storage-tank, and Separator (RSS) is a complex chemical process which contains a lot of factors influencing the control performance, and the Networked Distributed Model Predictive Control (NDMPC) strategy can solve the problem of improving the global performance for Large-Scale Industrial Process (LSIP) under Distributed Model Predictive Control (DMPC) strategy while compensate for the time...
This paper focuses on the event-triggered dissipative reduced-order filter design problem for continuous-time Takagi-Sugeno (T-S) fuzzy systems. Firstly, the sufficient conditions are given to ensure the concerned filtering error system is asymptotic stability with (X, Y, Z)-θ-dissipative performance by utilizing the reciprocally convex approach and a novel Lyapunov-Krasovskii function. Afterwards,...
This paper is concerned with the numerical simulation and optimization problem for inerter-based suspension struts for double wishbone vehicle suspension. A well-established double wishbone vehicle model is modified to facilitate the inerter-based suspension simulation based on Simulink/SimMechanics. The obtained SimMechanics model is inherently nonlinear and the simulation is time-consuming. Therefore,...
Inspired by potential application in power systems and a fully distributed primal-dual method, we investigate how a novel distributed optimization algorithm can be used to solve the dispath response problem in power systems with a distributed manner, whose main target is to minimize the generation cost of the whole network. The problem we study here can be formulated as a kind of optimization problem,...
In the study of multi-robots cooperative control, the design of the multi-robots cooperative platform is an important topic. To solve this problem, This paper builds a Multi-smart car collaborative control experiment platform based on visual location. The platform obtains real-time moving images of all smart cars according to the global infrared camera, and Combined with the infrared light on the...
This paper is devoted to the non-fragile H∞ filter design for discrete stochastic Markov jump systems against intermittent measurements. The measured outputs may be lost among the transmission from the plant to the filter. This phenomenon is modeled via a stochastic variable, which satisfies the Bernoulli random binary distribution. Without extra structure constraints on the introduced variable matrices,...
This paper investigates the generalized nonlinear resilient H∞ filter design problem for discrete-time systems with uncertain and nonlinear parameters. The uncertain parameters are assumed to have norm-bounded form and the nonlinear parameters are assumed to have Lipschitz form. We aim to design a generalized nonlinear resilient H∞ filter such that the stability and the H∞ performance of filtering...
This paper considers ship route extraction and clustering problem based on Automatic Identification System (AIS) data. For the ships with known Maritime Mobile Service Identify (MMSI), we propose a ship route extraction method by using AIS data. For ship route clustering, hierarchical clustering method is selected. We firstly define a distance between ship routes to measure the dissimilarity of them...
Taking double stage type three phase photovoltaic grid-connected generation system as the research object, the equivalent model of photovoltaic cells, the maximum power point tracking (MPPT) technology and the control strategy of three-phase grid connected inverter are analyzed in this paper. On the basis of the theoretical analysis, the double closed-loop vector control of the double stage type three-phase...
Aircraft infrared radiation characteristic is the important basis of penetration performance evaluation. When we use ground-based infrared radiation measurement system test aircraft in the out-field, goals are often in the clouds, the clouds of infrared radiation absorption and scattering makes the transmittance and background luminance change, which aifect measurement accuracy. Radiative transfer...
This paper develops a linear parameter varying(LPV) based robust model predictive control(MPC) method for a multi-vectored airship, the speed of the forward flight channel is considered. The nonlinear model of the airship is introduced with kinematics and dynamics. Then, in order to obtain the LPV models, the small perturbation linearization method is used. After that, the higher order singular value...
Generally speaking, basic real-time measurements collected from different control centers have a time delay due to the transmission delay and data exchanges in the energy management system (EMS). Measurement errors resulting from both the raw measurement noise and time delay have undesirable effect on power system dynamic state estimation (DSE). In order to reduce measurement errors, accurate measurement...
Recently, an efficient damped pseudo transient analysis method was proposed to find DC solutions for nonlinear circuits. However, the simulation efficiency is still not satisfactory. In this paper, for different kinds of circuits, we get some groups of PTRAN algorithm control parameters values by using a parameter optimization algorithm for pseudo-transient analysis to obtain higher efficiency during...
The guaranteed performance consensus for multiple agents with Lipschitz nonlinear dynamics is investigated by using the delayed consensus protocol. Based on state errors between the one agent and the other agents, the performance function is introduced to describe the consensus regulation performance. The problems are transformed into guaranteed performance stabilization problems by using a matrix...
This paper investigates the problem of the fault isolation for Takagi-Sugeno (T-S) fuzzy systems. Based on set theory, the residual signal can be unaffected by the fault, which is to be isolated, then, the fault can be isolated successfully. In addition, the fault isolation performance can be enhanced by considering H−/H∞ performance index. Furthermore, based on the linear matrix inequalities (LMIs)...
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