NONLINEAR DYNAMICS OF LONGITUDINAL GROUND VEHICLE TRACTION By Brian John Olson The purpose of this study is to investigate and understand the nonlinear dynamics of longitudinal ground vehicle traction. Specifically, the performance of rubber-tired automobiles under straight-ahead braking and acceleration conditions is discussed in detail. Two vehicle-traction models are considered—a quarter-car...

Quadrotor UAVs are one of the most preferred type of small unmanned aerial vehicles because of the very simple mechanical construction and propulsion principle. However, the nonlinear dynamic behavior requires a more advanced stabilizing control and guidance of these vehicles. In addition, the small payload reduces the amount of batteries that can be carried and thus also limits the operating r...

In this paper, we compare three different control methodologies for helicopter autopilot design: linear robust multi-variable control, fuzzy logic control with evolutionary tuning, and nonlinear tracking control. The control design is based on nonlinear dynamic equations with a simplified thrust-torque generation model valid for hovering and low velocity flight. We verify the controller perform...

This paper is about the background of two new ideas from neuroeconomics for understanding habits. The main idea a two-process ‘neural autopilot’ model. model hypothesizes that contextually cued habits occur when reward habitual behavior numerically reliable (as in related models with an ‘arbitrator’). computational lightly parameterized, has essential ingredients established animal learning and...

This paper describes an intelligent autonomous airborne flight capability that is being used as a test bed for future technology development. The unmanned air vehicles (UAVs) fly under autonomous control of both an onboard computer and an autopilot. The onboard computer provides the mission control and runs the autonomous Intelligent Controller (IC) software while the autopilot controls the veh...

An integrated Autopilot-and Guidance Algorithm is developed using Higher Order Sliding Mode Control, for interceptors steered by combination of aerodynamic lift, sustainer thrust and center of gravity divert thrusters. A smooth HOSM guidance generates flight path trajectory angular rates and attitude rate commands. The attitude rate maneuvers are aimed at producing desired aerodynamic lift and ...

Concurrent with mental processes that require rigorous computation and control, a series of automated decisions and actions govern our daily lives, providing efficient and adaptive responses to environmental demands. Using a cognitive flexibility task, we show that a set of brain regions collectively known as the default mode network plays a crucial role in such "autopilot" behavior, i.e., when...

To deal with the complex of vessel autopilot system due to its non-linear nature and the difficulty to describe precisely the vessel behaviour in the seaway using mathematical models, this paper proposes a vessel autopilot intelligent model free control. After collecting the input and output data sample of vessel motion in real-time, the dynamic output feedback control strategy is adopted in wh...

Some descending intemeurones (DNs) in insects encode deviation from flight course. Intracellular recording reveals their inputs (from eyes, wind hairs, proprioceptive information from the neck and in some cases ocelli). Intracellular stimulation during flight reveals their motor effects. All components of steering (modification of wing stroke, ruddering with the hind legs, ruddering with the ab...