Iterative ADP Optimal Control for GGBS Production Based on Dynamic Target Optimization

Multiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization

A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...

Dynamic Integrated Algorithm for Production Scheduling Based on Iterative Search

It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative search algorithm is proposed. Firstly, the relationship model of production problem and algorithm is built. Secondly, the framework of the iterative search algorithm is proposed. On the basis of these, the strategy of ...

Optimal control of polymer flooding based on mixed-integer iterative dynamic programming

Estimation-based norm-optimal iterative learning control

The norm-optimal iterative learning control (ilc) algorithm for linear systems is extended to an estimation-based normoptimal ilc algorithm where the controlled variables are not directly available as measurements. A separation lemma is presented, stating that if a stationary Kalman filter is used for linear time-invariant systems then the ilc design is independent of the dynamics in the Kalman...

Simulation-based Optimization for Nonlinear Optimal Control

Optimal control of systems with complex nonlinear behaviour such as steady state multiplicity results in a nonlinear optimization problem that needs to be solved online at each sample time. We present an approach based on simulation, function approximation and evolutionary improvement aimed towards simplifying online optimization. Closed loop data from a suboptimal control law, such as MPC base...