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[null,"1.","Record Nr.",null,"UNINA9910346926203321"]
[null,null,"Autore",null,"Weißel Florian"]
[null,null,"Titolo",null,"Stochastische modell-prädiktive Regelung nichtlinearer Systeme"]
[null,null,"Pubbl/distr/stampa",null,"KIT Scientific Publishing, 2009"]
[null,null,"ISBN",null,"1000010573"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 122 p. p.)"]
[null,null,"Collana",null,"Karlsruhe Series on Intelligent Sensor-Actuator-Systems, Universität Karlsruhe / Intelligent Sensor-Actuator-Systems Laboratory"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Diese Arbeit behandelt neuartige Verfahren zur modell-prädiktiven Regelung (MPC) nichtlinearer Systeme unter umfassender Berücksichtigung stochastischer Unsicherheiten. Bei dem hier vorgestellten Framework zur stochastischen nichtlinearen MPC (SNMPC) wird neben dem unsicheren Systemverhalten auch die Zugänglichkeit des zu regelnden Systemzustands explizit bei der Stellgrößenberechnung berücksichtigt. Die vorgestellten Verfahren werden anhand der Regelung miniaturisierter Laufroboter evaluiert."]
[null,"2.","Record Nr.",null,"UNINA9911035046603321"]
[null,null,"Autore",null,"Silvestrov Dmitrii"]
[null,null,"Titolo",null,"Coupling and Ergodic Theorems for Semi-Markov-Type Processes II : Semi-Markov Processes and Multi-Alternating Regenerative Processes with Semi-Markov Modulation / / by Dmitrii Silvestrov"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031893155"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (853 pages)"]
[null,null,"Collana",null,"Mathematics and Statistics Series"]
[null,null,"Disciplina",null,"519.233"]
[null,null,"Soggetti",null,"Probabilities"]
[{"$nulls":4},"Applied Probability"]
[{"$nulls":4},"Probability Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface -- Introduction -- Summary of Ergodic Theorems for Regenerative Processes -- Modifications of Hitting Times -- Birth-Death-Type Processes -- Semi-Markov Processes with Discrete State Spaces and Embedded Regenerative Processes -- Ergodic Theorems for Queuing Systems -- Semi-Markov Processes with General State Spaces with Atoms -- Semi-Markov Processes with General State Spaces and Distributional Atoms -- Semi-Markov Processes with General State Spaces and One-Step Artificial Regeneration -- Semi-Markov Processes with General State Spaces and Multi-Step Artificial Regeneration -- Multi-Alternating Regenerative Processes with Semi-Markov Modulation -- Multi-Alternating Regenerative Processes Modulating by Uniformly Recurrent Semi-Markov Processes -- Appendix A. Methodological and Bibliographical Notes -- References -- Index."]
[null,null,null,"Sommario/riassunto","Ergodic theorems are a cornerstone of the theory of stochastic processes and their applications. This book is the second volume of a two-volume monograph dedicated to ergodic theorems. While the first volume centers on Markovian and regenerative models, the second volume extends the scope to semi-Markov processes and multi-alternating regenerative processes with semi-Markov modulation and delves into ergodic theorems with explicit power and exponential upper bounds for convergence rates for such processes. The book offers a powerful and constructive probabilistic framework by employing coupling ergodic theorems presented in the first volume in conjunction "]
[{"$nulls":4},"with the method of artificial regeneration and test functions. Theoretical findings are illustrated with applications to semi-Markov Monte Carlo algorithms and perturbed queuing systems featuring explicit convergence rate bounds. Many results presented in the book are groundbreaking, appearing in publication for the first time. Designed with researchers and advanced students in mind, the content is thoughtfully structured by complexity, making it suitable for self-study or as a resource for upper-level coursework. Each chapter is self-contained and complemented by a comprehensive bibliography, ensuring its value as a long-lasting reference. An essential resource for theoretical and applied research, this book significantly contributes to the field of stochastic processes and will remain a key reference for years to come. ."]