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This book deals with basics of parameter estimation and state estimation as the building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB® based implementations with realistically simulated data. It includes several illustrative examples and exercises.
Mathematical Modelling of Aerospace Dynamic Systems with Practical Applications provides mathematical models for several aerospace dynamic systems: aircraft, rotorcraft, missile, UAVs, MAVs, autonomous underwater vehicles (AUWVs), and satellite-coordinate systems.
Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling, estimation, recursive filtering, linear filtering, and nonlinear filtering are presented with appropriate and sufficient mathematics. A modeling-control-system approach is used when applicable, and detailed practical applications are presented to elucidate the analysis and filtering concepts. MATLAB routines are included, and examples from a wide range of engineering applications - including aerospace, automated manufacturing, robotics, and advanced control systems - are referenced throughout the text.
Explores the theory and concepts of multi-sensor data fusion, including kinematic data fusion, fuzzy logic and decision fusion, and pixel/image-level fusion. This book elucidates aspects of data fusion strategies, algorithms, and performance evaluation, mainly for aerospace applications.
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