Comparison of stochastic optimal controls with different level of self-learning
نویسندگان
چکیده
Abstract In the article the problem of control of a linear dynamic system with a square coefficient of quality was introduced. Depending on knowledge we have about the parameters of system, the principles of control of the system under conditions of full and incomplete information as well as the differences in values of coefficients of quality were presented. Potential usage of the above mentioned principles may pertain to physical systems for which the supreme aim of control is minimization of energetic losses as well as optimal control of a linear system in real-time, and also to computer systems where the pricing of value of information is required.
منابع مشابه
An integrated vendor–buyer model with stochastic demand, lot-size dependent lead-time and learning in production
In this article, an imperfect vendor–buyer inventory system with stochastic demand, process quality control and learning in production is investigated. It is assumed that there are learning in production and investment for process quality improvement at the vendor’s end, and lot-size dependent lead-time at the buyer’s end. The lead-time for the first batch and those for the rest of the batches ...
متن کاملComparison of Three Instructional Methods for Drug Calculation Skill in Nursing Critical Care Courses: Lecturing, Problem Solving, and Computer-Assisted Self-Learning
Introduction: Due to development of educational systems and importance of education in the nursing profession, the necessity of using appropriate instructional methods for new theoretical and practical skills in students is clear. The purpose of this study is comparing the effects of three methods lecture, problem solving, and computer-assisted self learning on the drug calculation skill on thi...
متن کاملApplication of Stochastic Optimal Control, Game Theory and Information Fusion for Cyber Defense Modelling
The present paper addresses an effective cyber defense model by applying information fusion based game theoretical approaches. In the present paper, we are trying to improve previous models by applying stochastic optimal control and robust optimization techniques. Jump processes are applied to model different and complex situations in cyber games. Applying jump processes we propose some m...
متن کاملAn Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
متن کاملNumerical Solution of Optimal Heating of Temperature Field in Uncertain Environment Modelled by the use of Boundary Control
In the present paper, optimal heating of temperature field which is modelled as a boundary optimal control problem, is investigated in the uncertain environments and then it is solved numerically. In physical modelling, a partial differential equation with stochastic input and stochastic parameter are applied as the constraint of the optimal control problem. Controls are implemented ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Annales UMCS, Informatica
دوره 4 شماره
صفحات -
تاریخ انتشار 2006