{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":23,"n_cols":5,"rows_kept":23,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[12,2,12,3],[13,2,13,3],[17,2,17,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9911006753303321"]
[null,null,"Autore",null,"Mahmoud Magdi S"]
[null,null,"Titolo",null,"Distributed control and filtering for industrial systems / / Magdi S. Mahmoud"]
[null,null,"Pubbl/distr/stampa",null,"London, : Institution of Engineering and Technology, 2013"]
[null,null,"ISBN",null,"1-62198-561-X"]
[{"$nulls":4},"1-84919-608-7"]
[{"$nulls":4},"1-299-10439-8"]
[null,null,"Descrizione fisica",null,"1 online resource (484 p.)"]
[null,null,"Collana",null,"IET control engineering series ; ; 88"]
[null,null,"Disciplina",null,"629.8"]
[null,null,"Soggetti",null,"Automatic control"]
[{"$nulls":4},"Industrial engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Contents; Preface; Acknowledgments; Notations and symbols; List of acronyms; 1. Introduction; 1.1 Introduction; 1.2 Control architectures; 1.3 Related design problems and issues; 1.4 Information flow; 1.5 Performance evaluation; 1.6 Advantages of distributed control systems; 1.7 Outline of the book; 1.8 Notes; 2. Distributed model predictive control; 2.1 Overview; 2.2 Dissipativity-based approach; 2.3 Constrained model predictive control; 2.4 A cooperative game approach; 2.5 Feasible cooperation model predictive control; 2.6 Application to power plant control"]
[{"$nulls":4},"2.7 Application to quadruple-tank process2.8 Application to automatic generation control; 2.9 Notes; 3. Distributed linear quadratic control; 3.1 Introduction; 3.2 Identical decoupled dynamical systems; 3.3 Distributed semistable LQR control; 3.4 Distributed control of nonnegative systems; 3.5 Distributed control of power load frequency; 3.6 Notes; 4. Distributed observer-based control; 4.1 Observer-based control; 4.2 Approximate distributed feedback control; 4.3 Application to chemical reactors; 4.4 Notes; 5. Distributed consensus control; 5.1 Consensus of multiagent systems"]
[{"$nulls":4},"5.2 Consensus control for time-delay systems5.3 Robust consensus of multiagent systems; 5.4 Notes; 6. Distributed estimation; 6.1 Introduction; 6.2 Problem formulation; 6.3 Convergence of the centralized estimation error; 6.4 Minimum variance estimation design; 6.5 Asynchronous multirate multismart sensors; 6.6 Distributed "]
[{"$nulls":4},"nonlinear estimation; 6.7 Notes; 7. Distributed Kalman filtering; 7.1 Introduction; 7.2 Self-tuning Kalman filtering; 7.3 Kalman filtering with intermittent communications; 7.4 Notes; 8. Experimental setups; 8.1 Introduction; 8.2 Overview of related work"]
[{"$nulls":4},"8.3 Simulation environments8.4 Simulation examples; 8.5 Experimental setup; 8.6 Multiagent modeling approach; 8.7 Networked control system evaluation; 8.8 CAN and Switched Ethernet networks; 8.9 Design consideration; 8.10 Networked and distributed control architectures; 8.11 Notes; 9. Appendix; 9.1 Notations; 9.2 Elements of graph theory; 9.3 Minimum mean square estimate; 9.4 Stability notions; 9.5 Basic inequalities; 9.6 Linear matrix inequalities; 9.7 Some formulas on matrix inverses; References; Index"]
[null,null,null,"Sommario/riassunto","Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications."]