Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design

Value and Policy Iteration in Optimal Control and Adaptive Dynamic Programming

In this paper, we consider discrete-time infinite horizon problems of optimal control to a terminal set of states. These are the problems that are often taken as the starting point for adaptive dynamic programming. Under very general assumptions, we establish the uniqueness of solution of Bellman’s equation, and we provide convergence results for value and policy iteration. Report LIDS-P-3174, ...

Data-Driven Optimal Control for Adaptive Optics

Adaptive differential dynamic programming for multiobjective optimal control

An eecient numerical solution scheme entitled adaptive diierential dynamic programming is developed in this paper for multiobjective optimal control problems with a general separable structure. For a multiobjective control problem with a general separable structure, the \optimal" weighting coeecients for various performance indices are time-varying as the system evolves along any noninferior tr...

Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments

Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...

optimal adaptive fuzzy integral sliding model control for electrically driven scara robot manipulator

in this paper, an optimal adaptive fuzzy integral sliding mode control is presented to control the robot manipulator position tracking in the presence of uncertainties and permanent magnet dc motor. in the proposed control, sliding surface of the sliding mode control is defined according to the information of position tracking error, derivatives, and error integral. in order to estimate bounds ...