The paper describes applications of control theory methods to macroeconomic policy formulation. The use of modelling concepts and techniques arising from control theory are discussed. Applications of control methods t...
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The paper describes applications of control theory methods to macroeconomic policy formulation. The use of modelling concepts and techniques arising from control theory are discussed. Applications of control methods to macroeconomic models are described both for linear and for large nonlinear models. In the case of linear models, a minimal state-space representation is obtaine, a quadratic performance index adopted, and, assuming a Gaussian distribution of disturbances, the policy design problem is formulated in terms of a classical optimal control (LQG) framework. For large nonlinear models, and earlier approach involving the control of such systems using small linearised models is discussed initially. Subsequently, a direct approach, using a nonlinear optimisation algorithm, for computing optimal policies is discussd. The derivation of parametrised feedback laws and robust controls in such an optimisation setting is also described.
An outstanding calibration algorithm is the most important factor that affects the precision of attitude measurement. This study proposes a non-linear optimisationalgorithm to refine the solutions of the initial gues...
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An outstanding calibration algorithm is the most important factor that affects the precision of attitude measurement. This study proposes a non-linear optimisationalgorithm to refine the solutions of the initial guess obtained using the Zhang's technique, the Bouget's technique, or the Hartley's algorithm. Large sets of point correspondences were adopted to test the validity of the proposed method. Extensive practical experiments demonstrated that the proposed method can significantly improve the accuracy of calibration and ultimately obtains higher measurement precision. The error of the reprojection in the proposed method was <0.13 px. At a range of 1 m, the error rate was 0.5% for the length test and about 3% for the angle test. This study proposes a new method to calibrate the relationship between laser radar and the camera. Binocular vision was used to reconstruct the point cloud of the non-cooperative target. At the same time, data was also obtained using laser radar. Finally, the two groups of systems were fused. Accurate and dense three-dimensional information of the target was obtained. It could not only obtain the dense pose information of the target surface but also the texture and colour feature information of the target surface.
A major difficulty when modelling nonlinear structures from experimental vibration data is to determine the type of nonlinear functions that will better predict their dynamic re-sponse. In this paper we address this i...
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A major difficulty when modelling nonlinear structures from experimental vibration data is to determine the type of nonlinear functions that will better predict their dynamic re-sponse. In this paper we address this issue by developing a recursive framework in which the characteristics and parameters of nonlinear structures are identified using measured input and output time-domain data. Forward-backward and exhaustive search regression algorithms are exploited based on optimisation techniques to recursively select and quan-tify the best nonlinear functions from a predefined library of nonlinear terms. The frame-work assumes localised nonlinearities for which their location is assumed to be known. The proposed methodology is demonstrated using numerical and experimental examples of single and multi-degree-of-freedom systems. The results presented highlight key advan-tages of the proposed method including: the capability of treating multi-degree of freedom nonlinear systems holding different types of localised nonlinearities, and the capability of selecting nonlinear terms with a light computational effort and with limited number of time samples. (c) 2021 Elsevier Ltd. All rights reserved.
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