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In this paper, the fractional-order integral state space realization of a class of any proper fractional transfer function is presented. The operational matrix is generalized into the block form for fitting to carry out the quasi state analysis of the fractional-order integral state space model. Finally, some examples are exhibited to prove the validity of the proposed developments.
The online computational burden associated with the solution of the NMPC optimization problem is a key issue when applying nonlinear model predictive control (MPC) to fast dynamic systems. In order to improve the computation efficiency, a novel hardware implementation method for NMPC on a field programmable gate array (FPGA) chip is proposed. The optimization problem formed by NMPC is solved by particle...
This paper deals with the observer design for the Lur'e differential inclusion system with Markovian jump parameters. The information of transition probabilities is partially unknown. The stochastic observer is designed to make the error system exponentially stable in mean square. The condition for the existence of the stochastic observer is given by a set of linear matrix inequalities and linear...
This paper considers the generalized projective synchronization problem for an array of non-identical coupled chaotic systems with ring connections. By using the direct design method, the control laws, which transform the error system into a nonlinear system with special antisymmetric structure, are designed to realize the generalized projective synchronization. Some simple stability criteria are...
This paper addresses a constrained robust output regulation problem for a class of output feedback systems with unknown control direction. The problem is firstly transformed into a constrained stabilization problem by introducing the internal model principle. Then a robust adaptive feedback control law for the system is proposed to solve the constrained stabilization problem by incorporating the techniques...
In view of the distribution feature of decision-making between owner and contractors, a novel decision-making framework based on negotiation is proposed. The owner and contractors negotiate on completion time in order to obtain the expected completion probability of a project with the constraint of cost. Considering the dynamic property of risks, Markov process is used in each subproject. The evaluation...
To process the uncertainty of decision-making environment and the real-time during the tactical decision of UAV medium-range air combat, a hybrid tactical decision-making method based on rule sets and Fuzzy Bayesian network (FBN) was proposed. By studying the process of UAV air combat, the main factors that affect the tactical decision were analyzed. A corresponding FBN and expert system were built...
On the basis of the interaction law of IT resources and IT application capabilities, using collaborative theory point of view, IT resources and IT application capabilities coupling measure model is established, which involves the active function, coupling degree functions, coupled coordination function and IT resources and IT ability coupling evaluation index system. According to the model, combined...
The influencing factors indexes system of food industrial enterprises' integrity & credit is constructed from enterprise, government, market, society and consumer. It is difficult to decide accurately which factor has the greatest influence and influenced degree on the integrity & credit because there are the complicated, interactive and restrictive influencing relations between each pair...
In this paper, linear quadratic stochastic zero-sum differential games for discrete-time Markov jump systems are discussed. It is shown that the existence condition of finite horizon stochastic zero-sum games is equivalent to the solvability of the associated difference Riccati equations, and that of infinite horizon stochastic zero-sum games is equivalent to the solvability of the associated algebraic...
This paper presents a new workforce allocation optimization model for project scheduling problems with multi-skilled workforce constraints (PSPMSWC), under uncertainty about the projects. The model is a mixed-integer program(MIP) model that aims at maximizing the total profit. As a subproblem, scheduling and staff assignment for projects must also be optimized. In the experiment, projects are selected...
This paper deals with the problem of passivity analysis for neural networks with both time-varying delay and norm-bounded parameter uncertainties. By further utilizing the information of activation function and employing a reciprocally convex approach to consider the relationship between the time-varying delay and its time-varying interval, some improved delay-dependent passivity conditions are obtained,...
In this paper, the performance analysis of the model of gradient neural network (or termed G-type model), which was designed originally for solving constant linear equation, is investigated, analyzed and simulated for online solution of Zhang linear equation (ZLE or termed time-varying linear equation). Compared with the constant case, G-type model for online ZLE solving can only approximately approach...
By combining two fast training methods, i.e., the weights-direct-determination (WDD) method and Levenberg-Marquardt method, this paper proposes a novel training algorithm called weights and structure policy (WASP) for the three-layer feedforward neuronet, in addition to the algorithm of weights and structure determination (WASD). Note that the pruning-while-growing and second-pruning techniques are...
In the paper, a regularized correntropy criterion (RCC) for radial basis function neural network (RBFNN) is proposed. In RCC, the Gaussian kernel function is used to replace the Eculidean norm of the sum-squared-error (SSE) criterion. Replacing SSE by RCC can improve the anti-noise ability of RBFNN. Moreover, the optimal weights and the optimal bias terms can be iteratively obtained by the half-quadratic...
Neural network architecture designed for large-scale and the generalization is poor, presents a neural network algorithm for fast pruning based on significance analysis. The essence of the method is based on large-scale neural network perceptron as the research object, the constructor error curved surface model to analyze the network connection weights of disturbance on the network output error caused...
Accurate measurement of the mill level is a key factor to improve the ball mill's productive efficiency, safety and economy. Aiming at solving the critical problem of the mill level soft sensor, feature extraction of the processing parameters, a novel method based on Deep Belief Network (DBN) is proposed. DBN is one of the deep learning methods, which focuses on learning deep hierarchical models of...
An ARINC429 bus testing system is designed based on FFT processor, which aims at the technology of ARINC429 bus data communication. It controls tested module by controlling bus. In other words, the performance of ARINC 429 bus is tested by testing address bus and data bus. The testing system is based on ARINC429 bus specification and adopts universal ARINC429 special component DEI1016 and BD429 to...
The design of TS Fuzzy observer for disturbance rejection based on ℋ∞ optimization index is discussed in this paper. The disturbance rejection observer for Takagi-Sugeno (TS) fuzzy system is designed with weight function depending on immeasurable premise variables and the residual generated is robust to disturbances. The linear matrix inequalities (LMI) which will minimize the optimizing index has...
The safe and stable operation of the large capacity thermal power unit must be seriously affected by the rapidly changed load when the unit participates in peak regulation. This paper takes a domestic 600MW steam turbine unit as an example, sets up a mass-spring model with lumped parameter method and calculates the torsional vibration responses of the shafts with the method combined Riccati transfer...
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