Robust Space Trajectory Design Using Belief Optimal Control

Discrete Mechanics and Optimal Control for Space Trajectory Design

Space trajectory design is often achieved through a combination of dynamical systems theory and optimal control. The union of trajectory design techniques utilizing invariant manifolds of the planar circular restricted three-body problem and the optimal control scheme Discrete Mechanics and Optimal Control (DMOC) facilitates the design of low-energy trajectories in the N -body problem. In parti...

Robust Optimal Control using Sliding-Mode Design: Unit Vector Approach

In this paper, two robust optimal control methods based on sliding mode design are introduced and implemented using the well-known unit vector approach. Time-varying sliding surfaces are implemented to solve linear optimal problems. The introduced sliding surfaces produce optimal controllers with respect to quadratic cost function. The presented design procedure is much easier than solving an H...

Constrained Robust Optimal Trajectory Tracking: Model Predictive Control Approaches

This thesis is concerned with the theoretical foundations of Robust Model Predictive Control and its application to tracking control problems. Its first part provides an introduction to MPC for constrained linear systems as well as a survey of different Robust MPC methodologies. The second part consists of a discussion of the recently developed Tube-Based Robust MPC framework and its extension ...

Space Trajectory Optimization and L-Optimal Control Problems

Parameter Space Design of Robust Control Systems

Find a state or output feedbac:k wlth flxed gains such that nlce stabllity (deflned by a regloo in tbe elgenvalue plane) ls robust wlth respect to !arge plant parameter varladoos, semor failures, and quantlzatJon effects in tbe controller. Keep tbe requlred magnltude of control Inputs smail in thls deslgn. A tool for tacldJ.ng suc:h problems by des1gB in tbe controller parameter space % ls intr...