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Nonlinear systems. --- Observers (Control theory) --- Observability (Control theory) --- State estimator (Control theory) --- State observer (Control theory) --- Control theory --- Systems, Nonlinear --- System theory

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Adaptive control systems. --- Observers (Control theory) --- Nonlinear control theory. --- Control theory --- Nonlinear theories --- Observability (Control theory) --- State estimator (Control theory) --- State observer (Control theory) --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Self-organizing systems

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Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.

n/a --- super twisting sliding mode controller (STSMC) --- monocular visual SLAM --- modulation --- bio-inspiration --- simulation --- horizontal control --- sensor fusion --- ADRC --- high-order sliding mode --- over-the-horizon air confrontation --- longitudinal motion model --- autonomous control --- real-time ground vehicle detection --- maneuver decision --- nonlinear dynamics --- UAV automatic landing --- harmonic extended state observer --- image processing --- General Visual Inspection --- actuator faults --- actuator fault --- remote sensing --- aerial infrared imagery --- agricultural UAV --- SC-FDM --- tilt rotors --- mass eccentricity --- wind disturbance --- decoupling algorithm --- adaptive discrete mesh --- disturbance --- super twisting extended state observer (STESO) --- heuristic exploration --- sliding mode control --- UAS --- Q-Network --- UAV communication system --- UAV --- reinforcement learning --- autonomous landing area selection --- peak-to-average power ratio (PAPR) --- slung load --- aircraft maintenance --- flight mechanics --- octree --- unmanned aerial vehicle --- convolutional neural network --- aircraft --- performance evaluation --- quadrotor --- vertical take off --- data link --- path planning --- coaxial-rotor --- fixed-time extended state observer (FTESO) --- multi-UAV system --- hardware-in-the-loop --- distributed swarm control --- vertical control

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This 2001 book presents a general theory as well as a constructive methodology to solve 'observation problems', that is, reconstructing the full information about a dynamical process on the basis of partial observed data. A general methodology to control processes on the basis of the observations is also developed. Illustrative but also practical applications in the chemical and petroleum industries are shown. This book is intended for use by scientists in the areas of automatic control, mathematics, chemical engineering and physics.

Observers (Control theory) --- Missing observations (Statistics) --- Data, Missing (Statistics) --- Missing data (Statistics) --- Missing values (Statistics) --- Observations, Missing (Statistics) --- Values, Missing (Statistics) --- Estimation theory --- Multivariate analysis --- Multiple imputation (Statistics) --- Observability (Control theory) --- State estimator (Control theory) --- State observer (Control theory) --- Control theory

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A wide range of ongoing research in the areas of controller design and information engineering reveals that the pace of technological change in this domain seems to be accelerating. The primary focus is on futuristic segments ranging from robotics, genomics to chemical feedstock and electrical storage. The main objective of this special issue was to provide a forum for researchers and practitioners to exchange their latest theoretical and technological achievements and to identify critical issues and challenges for future investigation on topics regarding advanced automation and control techniques based on information system technologies.

Technology: general issues --- fractional calculus --- fractional-order control --- experimental tuning --- smart beam --- vibration suppression --- industrial internet of things --- prediction strategy --- proactive historian --- water industry --- lithium-ion batteries --- fast charging --- battery ageing --- sample and hold --- hierarchical clustering --- multidimensional scaling --- distances --- moving horizon estimation --- Kalman filter --- parameter estimation --- tumor growth estimation --- vibration --- control --- linear quadratic regulator (LQR) --- algebraic Riccati equation --- iteration --- state observer --- viscoelasticity --- mechatronic system --- 6DOF platform --- co-simulation platform --- robust control --- fractional order PID control --- linear parameter varying system --- n/a