Small, low-cost unmanned aerial vehicles (UAVs) are more prone to actuator failure and manufacturing variability than their larger, more expensive counterparts. To build a controller that was robust to this variability and these failure modes a linear quadratic regulator (LQR) was implemented to make the aircraft follow a desired trajectory, and then at regular intervals, a discrete time contin...

The presented research concerns the control of unmanned vehicles. The results introduced in this dissertation provide a solid control framework for a wide class of nonlinear uncertain systems, with a special emphasis on issues related to implementation, such as control input amplitude and rate saturation, or partial state measurements availability. More specifically, an adaptive control framewo...

In this paper, we present a cooperative control architecture for high-order multivehicle systems having non-identical nonlinear uncertain dynamics. The proposed methodology consists of a local cooperative controller and a vehicle-level controller for each vehicle. The former controller receives the relative output measurements of the neighboring vehicles in order to solve a containment problem ...

This paper in applied theory argues that there is a loose chain of reasoning connecting the following three basic links in the economics of climate change: 1) additive disutility damages may be appropriate for analyzing some impacts of global warming; 2) an uncertain feedback-forcing coe¢ cient, which might be near one with in…nitesimal probability, can cause the distribution of the future time...

On the basis of inverse dynamics controller as a nominal control portion, two types of novel robust adaptive inverse dynamics control schemes are proposed for the trajectory tracking control of robot manipulator with uncertain dynamics. They are composed of an adaptive fuzzy control algorithm and a nonlinear H∞ tracking control model. The adaptive fuzzy control algorithm is employed to approxim...

This paper offers graphic illustration of so-called “valence” models of candidates responding to their perceptions of voter location in a two-party system. Models by Groseclose and others show how the combination of candidate uncertainty about the median voter location, nonzero candidate valence, and policy motivated candidates leads to departures from the median voter prediction. With one poli...

Ambiguity sets of probability distributions are used to hedge against uncertainty about the true probabilities uncertain inputs and random quantities interest (QoIs). When available, these am...