Model Predictive Control, Linear Time-Invariant Convex Optimal Control, Greedy Control, 'Solution' Via Dynamic Programming, Linear Quadratic Regulator, Finite Horizon Approximation, Cost Versus Horizon, Trajectories, Model Predictive Control (MPC), MPC Performance Versus Horizon, MPC Trajectories, Variations On MPC, Explicit MPC, MPC Problem Structure, Fast MPC, Supply Chain Management, Constraints And Objective, MPC And Optimal Trajectories, Variations On Optimal Control Problem
Continuation of Convex Optimization I. Topics include: Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch & bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and communications.
One of the world's leading universities, Stanford was founded in 1885 in what is now Stanford, California. It is comprised of seven schools, four of which are devoted exclusively to graduate education. Stanford's most renowned programs include the Graduate School of Business, Law School, School of Engineering, and School of Medicine. Notable alumni include author John Steinbeck, Supreme Court Justice William Rehnquist, and Google founders Sergey Brin and Larry Page.