Lateral-Directional Aerodynamics Parameter Estimation using Neural Partial Differentiation In this paper, application of neural networks combined with partial differentiation of the neural outputs has been discussed to estimate lateral-directional flight…
Contraction Based Tracking Control of Autonomous Underwater Vehicle This paper discusses the incremental stability of an underwater vehicle using the contraction theory. Stability analysis considered in vehicle dynamics of a…
Reduced Order Model based Flight Control System For A Flexible Aircraft The interaction between the flight control system and its structural modes becomes stronger if the frequency separation between rigid…
Multi-sensor Data Fusion based Approach for the Calibration of Airdata System Multi-sensor data fusion is a sophisticated approach employed in the calibration of Airdata Systems, enhancing the accuracy and reliability…
Design and Convergence Analysis of Stochastic Frequency Estimator using Contraction Theory This study investigates the design and analysis of an estimator for unknown frequencies of a sinusoid in the presence…
Stochastic Contraction Based Observer and Controller Design Algorithm with Application to a Flight Vehicle This paper focuses on a stochastic version of contraction theory to construct observer-controller structure for a…
Stochastic Contraction Based Online Estimation of Second Order Wiener System Wiener system is a block oriented model, having a linear time-invariant dynamic system followed by a memory-less nonlinearity. To design…
Aircraft Neural Modeling and Aerodynamics Parameter Estimation using Neural Partial Differentiation The neural modeling of a dynamic system is presented in this chapter. The former literature reported that ordinary differential…
System Identification of Flexible Aircraft in Frequency Domain The purpose of this paper is to identify the flexible aircraft model accurately from the frequency responses. The frequency domain output error…
Lateral Directional Aircraft Aerodynamic Parameter Estimation Using Adaptive Stochastic Nonlinear Filter This paper aims to accurately estimate the lateral directional aerodynamic parameters in real time irrespective of the variations in…
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