Stability and control characteristics analysis has long been the important research area of aircraft flight dynamics, which is the critical factor of control system design, performance evaluation and integrated design of aircraft. The linear perturbation equations describing aircraft longitudinal and lateral motion, which are derived from nonlinear dynamic equations based on the small perturbat...

A class of systems influenced by nonlinearly parameterized perturbations is considered. An estimation scheme is developed whereby exponentially stable estimates of the unknown parameters can be obtained with an arbitrarily large region of attraction, provided the states are available for measurement. The method applies to a class of perturbations with the property that an exponentially stable e...

A novel sensorless control scheme for Permanent Magnet Synchronous Motor (PMSM) is presented. The rotor position estimation is obtained by the position perturbation algorithm, and high performance of the PMSM is achieved by using the vector control technique. DSP56005 is used to realize the position estimation and vecor control algorithms. Experimental results are presented to substantiate the ...

We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent upon application, the latter is interpreted either as a perturbation or as meaningful object characteristic. We discuss the recognition task for segmentation, learning tasks for parameter estimation as well as differ...

This paper deals with the problem of parameter estimation based on certain eigenspaces of the empirical covariance matrix of an observed multidimensional time series, in the case where the time series dimension and the observation window grow to infinity at the same pace. In the area of large random matrix theory, recent contributions studied the behavior of the extreme eigenvalues of a random ...

We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown parameters. The method applies to systems where the states are available for measurement, and perturbations with the property that an exponentially stable estimate of the unknown parameters can be obtained if the whole pert...

We derive estimators of throughput sensitivity to changes in buffer capacity for continuous flow models of a transfer line comprising two machines separated by a buffer of finite capacity, where machines are subject to operation-dependent failures, i.e., a machine cannot fail when it is idle. Both repair times and failure times may be general, i.e., they need not be exponentially distributed. T...