The primary focus of this paper is the identification of second-order Volterra models using input sequences that offer the following three advantages: (i) the are 'plant friendly;' (ii) they simplify the requi...
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The paper deals with the problem of identifiability of mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential algebra is presented. The conditions of the g...
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Constrained predictive controller that is based on Youla-Kučera (YK) parametrisation of all stabilising controllers is discussed. The optimised variables are not future control increments as usual but directly paramet...
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The conditions for a polynomial response and obtaining its analytical expression are considered. The responses in a forced regime of work arise from a linear input/output system of second order with varying coefficien...
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Genetic programming has rarely been applied to manufacturing optimisation problems. In this report we investigate the potential use of genetic programming for the solution of the one-machine total tardiness problem. C...
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In this paper a new observation model is presented to improve the state estimation and prediction in a target tracking problem. Comparing with conventional approaches, the following are distinguished points of the app...
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In this paper a new observation model is presented to improve the state estimation and prediction in a target tracking problem. Comparing with conventional approaches, the following are distinguished points of the approach. First, the measurement equation is set up in the polar coordinate and even combines the derivation measurement with the usual position measurements (i.e. there are 6 sensor data now: range, azimuth, elevation angle, range rate, azimuth rate, and elevation rate). Second, the observation noise of sensor data is considered as a colored one and be set up as the model of AR(1), and by means of a pseudo measurement model, the requirement of Kalman filter will be satisfied. As a result, the accuracy of both the observation and the prediction will be increased.
Concepts of the generalized left inverse, the generalized Fourier transform and the square root of matrix are defined in this the paper. Meanwhile, this paper deals with singular distributed parameter systems describe...
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Concepts of the generalized left inverse, the generalized Fourier transform and the square root of matrix are defined in this the paper. Meanwhile, this paper deals with singular distributed parameter systems described by coupled partial differential equations with singular matrix coefficients. As to the singular distributed parameter systems, the initial-value problem are considered on the basis of the generalized Fourier tranform theorem. The solution of the systems is obtained the method presented here the possibility of determining acceptable initial-value conditions.
The Parameter Robust control by Bayesian Identification (PRCBI) synthesis, whose robustness measure depends on the quality of Bayesian parameter estimates, is extended to linear time-invariant systems where all state-...
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The normal H ∞ control design deals with both plant modeling uncertainties and exogenous signal uncertainties by constructing a controller which stabilizes uncertain linear systems while satisfying an H ∞ -norm boun...
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The normal H ∞ control design deals with both plant modeling uncertainties and exogenous signal uncertainties by constructing a controller which stabilizes uncertain linear systems while satisfying an H ∞ -norm bound constraint on disturbance attenuation for all admissible uncertainties. However, the control design may result in unsatisfactory performances or even instabilities in the event of sensor failures in practical plants. This paper presents a novel technique to design robust reliable H ∞ controllers for a class of time varying uncertainty system with sensor failures by solving three linear matrix inequalities (LMIs).
The underactuated free floating robot in space is nonlinear systems where velocity and acceleration constraints are both nonintegrable, therefore it is a secondorder nonholonomic system. Some of the existing nonholono...
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The underactuated free floating robot in space is nonlinear systems where velocity and acceleration constraints are both nonintegrable, therefore it is a secondorder nonholonomic system. Some of the existing nonholonomic control methods will not be directly applicable to such systems as it is extremely difficult, if not impossible, to find the control Lie brackets. In this paper, by investigating the system dynamics in dept., a simple velocity-based method is proposed to control the unactuated joints and a multi-step composite strategy to implement orientation tracking tasks. The proposed algorithm is of significance in controlling of space robots when some joints fail to function, or they are intentionally set to be passive for energy efficiency and safety purposes.
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