Results 1 to 10 of about 1,851 (145)
A random matrix needs large storage space and is difficult to be implemented in hardware, and a deterministic matrix has large reconstruction error. Aiming at these shortcomings, the objective of this paper is to find an effective method to balance these
Junying Liang +3 more
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Exponentiation Representation of Boolean Matrices in the Framework of Semi-Tensor Product of Matrices [PDF]
Semi-tensor product of matrices (STP of matrices) is a new matrix product and has been successfully applied to many fields, especially to logical dynamic systems.
Jumei Yue, Yongyi Yan
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Algebraic Expression and Construction of Control Sets of Graphs Using Semi-Tensor Product of Matrices [PDF]
Using a new matrix analysis tool, called semi-tensor product of matrices (STP) developed in recent years, this paper investigates the problem of finding control sets (or dominating sets) of graphs mathematically.
Yongyi Yan +3 more
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Solving Quaternion Linear System Based on Semi-Tensor Product of Quaternion Matrices
In this paper, we use semi-tensor product of quaternion matrices, L-representation of quaternion matrices, and GH-representation of special quaternion matrices such as quaternion (anti)-centrosymmetric matrices to solve the special solutions of quaternion matrix equation.
Xueling Fan, Zhao Jianli
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Stabilization of T-S fuzzy asynchronous Boolean control networks with time delay under noise [PDF]
This paper mainly investigates the stabilization problem of Takagi-Sugeno (T-S) fuzzy asynchronous Boolean control networks (ABCNs) under aperiodic sample-data state-feedback control. First, the system has been converted into a discrete time-delay system
Feifei Yang +4 more
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In this study, the problem of calculating the skeleton matrix for asynchronous sequential machine (ASMs) is addressed in the framework of the semi‐tensor product (STP) of matrices. By applying the STP of matrices and Boolean algebra, a new algebraic expression of ASMs is deduced. By utilising the algebraic expression, the skeleton matrix of ASMs can be
Zengqiang Chen, Xiaoguang Han
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A novel associative memory model based on semi-tensor product (STP) [PDF]
A good intelligent learning model is the key to complete recognition of scene information and accurate recognition of specific targets in intelligent unmanned system.
Yanfang Hou, Hui Tian, Chengmao Wang
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Generalised semi‐tensor product of matrices [PDF]
By introducing matrix multiplier and vector multiplier two kinds of semi‐tensor products (STPs), called matrix–matrix (MM) STPs and matrix–vector (MV) STPs, are introduced. They are generalisations of conventional matrix product, and contain standard STP as a particular case. Certain properties are revealed.
Cheng, Daizhan +3 more
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Set Stability and Set Stabilization of Boolean Control Networks Avoiding Undesirable Set
The traditional set stability of Boolean networks (BNs) refers to whether all the states can converge to a given state subset. Different from the existing results, the set stability investigated in this paper is whether all states in a given initial set ...
Wen Liu, Shihua Fu, Jianli Zhao
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Robust Output Tracking of Boolean Control Networks over Finite Time
With an increase in tracking time, the operating cost of the controller will increase accordingly. Considering the biological applications of Boolean control networks (BCNs), it is necessary to study the control problem of BCNs over finite time.
Yuan Zhao +3 more
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