Andere Kunden interessierten sich auch für
![Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties]( "Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties")
Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties74,99 €![Nonlinear Control of Vehicles and Robots]( "Nonlinear Control of Vehicles and Robots")
Nonlinear Control of Vehicles and Robots74,99 €![Visual Guidance of Unmanned Aerial Manipulators]( "Visual Guidance of Unmanned Aerial Manipulators")
Visual Guidance of Unmanned Aerial Manipulators88,99 €![Visual Guidance of Unmanned Aerial Manipulators]( "Visual Guidance of Unmanned Aerial Manipulators")
Visual Guidance of Unmanned Aerial Manipulators88,99 €![Sensing and Control for Autonomous Vehicles]( "Sensing and Control for Autonomous Vehicles")
Sensing and Control for Autonomous Vehicles147,99 €![Autonomous Control Systems and Vehicles]( "Autonomous Control Systems and Vehicles")
Autonomous Control Systems and Vehicles110,99 €![Small Unmanned Fixed-Wing Aircraft Design]( "Small Unmanned Fixed-Wing Aircraft Design")
Small Unmanned Fixed-Wing Aircraft Design140,99 €
This book introduces a comprehensive and mathematically rigorous controller design for families of nonlinear systems with time-varying parameters and unstructured uncertainties. Although the presented methodology is general, the specific family of systems considered is the latest, NextGen, unconventional fixed-wing unmanned aircraft with circulation control or morphing wings, or a combination of both.
The approach considers various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family of admissible plants. In contrast to existing controller designs that consider multiple models and multiple controllers, the proposed approach is based on the 'one controller fits all models' within the unstructured uncertainty interval.
The book presents a modeling-based analysis and synthesis approach with additive uncertainty weighting functions for accurate realization of the candidate systems. This differssignificantly from existing designs in that it is capable of handling time-varying characteristics.
This research monograph is suitable for scientists, engineers, researchers and graduate students with a background in control system theory who are interested in complex engineering nonlinear systems.
The approach considers various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family of admissible plants. In contrast to existing controller designs that consider multiple models and multiple controllers, the proposed approach is based on the 'one controller fits all models' within the unstructured uncertainty interval.
The book presents a modeling-based analysis and synthesis approach with additive uncertainty weighting functions for accurate realization of the candidate systems. This differssignificantly from existing designs in that it is capable of handling time-varying characteristics.
This research monograph is suitable for scientists, engineers, researchers and graduate students with a background in control system theory who are interested in complex engineering nonlinear systems.