Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems

Robust Process Control by Dynamic Stochastic Programming

Unnecessarily conservative behavior of standard process control techniques can be avoided by stochastic programming models when the distribution of random distur­ bances is known. In an earlier study we have investigated such an approach for tank level constraints of a distillation process. Here we address techniques that have accelerated the numerical solution of the large and expensive stocha...

Application of stochastic programming for iron ore quality control

Stockpiling and blending play a major role in maintaining the quantity and quality of the raw materials fed into processing plants, especially the cement, iron ore and steel making, and coal-fired power generation industries that usually require a much uniformed feed. Due to the variable nature of such materials, they even come from the same source and the produced ores or concentrates are seld...

Dynamic robust stabilization of stochastic differential control systems

Stochastic Dynamic Programming with Markov Chains for Optimal Sustainable Control of the Forest Sector with Continuous Cover Forestry

We present a stochastic dynamic programming approach with Markov chains for optimal control of the forest sector. The forest is managed via continuous cover forestry and the complete system is sustainable. Forest industry production, logistic solutions and harvest levels are optimized based on the sequentially revealed states of the markets. Adaptive full system optimization is necessary for co...

Programming Reactive Systems in Temporal Logic