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For two-wheeled robot easily affected by uncertain factors, such as load change, the friction, road conditions and external affect, in the actual movement, this paper takes a model reference adaptive method based on BP neural network identification. Firstly, this paper designs a state observer for dynamic model by Kalman filter, which play a role of reference model. And then it separately uses two...
Binary Machines (BMs) are a generalization of Linear Feedback Shift Registers (LFSRs) in which a current state is a nonlinear function of the previous state. It is known how to construct a BM generating a given completely specified binary sequence. In this paper, we present an algorithm which can efficiently handle the case of incompletely specified sequences. Our experimental results show that it...
Standard complex system reliability computation is an important topic for system engineers. Current approaches for reliability analysis are fault tree analysis, true value table or minimal path sets. FTA can not solve many complex problems. This paper introduces the method of Bayesian networks for reliability estimation. The complex systems bayesian networks can be built by a new method. Using the...
In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Bacterial Chemotaxis (BC) algorithm is one of the new heuristic algorithms based on colony intelligence. The BC optimization algorithm is introduced for the first time in solving the nonlinear optimal control problem. A case on the nonlinear optimal control problem is presented...
Model-based testing creates tests from abstract models of the software. These models are often described as graphs, and test requirements are defined as sub paths in the graphs. As a step toward creating concrete tests, complete (test) paths that include the sub paths through the graph are generated. Each test path is then transformed into a test. If we can generate fewer and shorter test paths, the...
This paper proposes a multi-objective optimization model for setting unmanned aerial vehicle(UAV) attitude controller parameters. Bacterial Chemotaxis (BC) algorithm is one of the new heuristic algorithms based on colony intelligence. The BC optimization algorithm is introduced for the first time in the setting of the attitude controller parameters of UAV. A case on the UAV attitude controller parameters...
This paper presents an improved dual-threshold speech endpoint detection algorithm based on short-time magnitude increment and short-time zero-crossing rate, which uses the continuous rise of speech short-time magnitude as the first-level decision threshold and short-time zero-crossing rate as the second-level decision threshold. Experimental results show that this algorithm is accurate, easy and...
Automatic identification of video is a key technique to various applications such as content based retrieval, copyright protection and broadcast monitoring. In this paper, we present a novel video identification scheme via spatio-temporal salient points. To achieve higher robustness to content preserved manipulations, especially geometric distortions, salient points are detected from both spatial...
Mutative scale chaos optimization method is used in the dynamic modeling of accelerometer. Genetic algorithm is used to research the optimized solution in global space, and induce the mutative scale chaos optimization method, which is used to carry on a local search in a small scale, enhances the search ability in local space. The simulation result indicates that the dynamic model for accelerometer...
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