We present two studies on robustness of feature extractions for an remote classroom intelligent autopilot: (1) robust feature extractions and (2) a simple automated calibration of webcams. For the robust feature extractions, use of quantified vectors is studied as feature extractions of fuzzy classifiers in Perceptual State Machine, i.e. our core Computational Intelligence model for this intell...

A tactical skid-to-turn missile autopilot is designed and implemented using a two step design process that results in an optimal output feedback with a fixed, low-order dynamic compensator for reduced design and implementation cost. The gain design consists of minimizing a performance index in which measurements and controls are appropriately weighted to achieve the desired speed of response, w...

State-dependent Riccati equation based controllers are becoming increasingly popular because of having attractive properties like optimality, stability and robustness. This paper focuses on the design of a roll autopilot for a fin stabilized and canard controlled 122mm artillery rocket using state-dependent Riccati equation technique. Initial spin is imparted to rocket during launch and it quic...

Although intrinsically marine craft are known to exhibit non-linear dynamic characteristics, modern marine autopilot system designs continue to be developed based on both linear and non-linear control approaches. This article evaluates two novel non-linear autopilot designs based on non-linear local control network and non-linear model predictive control approaches to establish their effectiven...

The design of a reliable control and guidance system for aerial vehicles based only on visual information and Inertial Measurement Unit (IMU) data possesses many unsolved challenging problems, ranging from hardware and software development to pure controltheoretical issues. Theses issues have been addressed by proposing a bio-inspired adaptive autopilot for self-localization, obstacles detectio...

This paper presents an initial study of the autopilot development of an unmanned surface vehicle (USV). The USV named Springer is being developed to carry out pollutant tracking, and environmental and hydrographic surveys in rivers, reservoirs, inland waterways and coastal waters, particularly where shallow waters prevail. The catamaran shaped autonomous vessel is modelled as a two input, singl...

This paper describes experiments in applying inductive learning to the task of acquiring a complex motor skill by observing human subjects. A flight simulation program has been modified to log the actions of a human subject as he or she flies an aircraft. The log file is used to create the input to an induction program. The output from the induction program is tested by running the simulator in...

In this work, a hardware-in-the-loop (HIL) simulator is designed to diagnose the behavior of an autonomous sailboat as it navigates between waypoints. At its core, HIL includes pilot on embedded system. The sensor data input system fed by navigation that takes into account different forces due wind, waves and current conditions. then tested for route from sea trials published in 2014, automated...

Local collision avoidance is an important problem that must be solved for safe autonomous flight of Unmanned Aerial Vehicles (UAVs). In order to successfully find a solution to this problem, an elaborate literature survey has been conducted. This survey of literature led to a fairly thorough understanding of the state-of-art techniques in the areas of path planning and collision avoidance of UA...