Discrete-Time Markov Control Processes: Basic Optimality Criteria

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Discrete-Time Markov Control Processes: Basic Optimality CriteriaISBN13:9781461268840ISBN10:1461268842Author:Hernandez-Lerma, Onesimo (Author), Lasserre, Jean B. (Author)Description:This Book Presents The First Part Of A Planned Two-Volume Series Devoted To A Systematic Exposition Of Some Recent Developments In The Theory Of Discrete-Time Markov Control Processes (Mcps) Interest Is Mainly Confined To Mcps With Borel State And Control (Or Action) Spaces, And Possibly Unbounded Costs And Noncompact Control Constraint Sets Mcps Are A Class Of Stochastic Control Problems, Also Known As Markov Decision Processes, Controlled Markov Processes, Or Stochastic Dynamic Pro- Grams; Sometimes, Particularly When The State Space Is A Countable Set, They Are Also Called Markov Decision (Or Controlled Markov) Chains Regardless Of The Name Used, Mcps Appear In Many Fields, For Example, Engineering, Economics, Operations Research, Statistics, Renewable And Nonrenewable Re- Source Management, (Control Of) Epidemics, Etc However, Most Of The Lit- Erature (Say, At Least 90%) Is Concentrated On Mcps For Which (A) The State Space Is A Countable Set, Andor (B) The Costs-Per-Stage Are Bounded, Andor (C) The Control Constraint Sets Are Compact But Curiously Enough, The Most Widely Used Control Model In Engineering And Economics--Namely The Lq (Linear Systemquadratic Cost) Model-Satisfies None Of These Conditions Moreover, When Dealing With Partially Observable Systems) A Standard Approach Is To Transform Them Into Equivalent Completely Observable Sys- Tems In A Larger State Space (In Fact, A Space Of Probability Measures), Which Is Uncountable Even If The Original State Process Is Finite-Valued Binding:Paperback, PaperbackPublisher:SPRINGER NATUREPublication Date:2012-09-30Weight:0.74 lbsDimensions:0.5'' H x 9.21'' L x 6.14'' WNumber of Pages:216Language:English

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