Zhao Junbo (12 results)

Paperback. Condition: new. Paperback. Robust Dynamic State Estimation of Power Systems Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condition: Neu. Robust Dynamic State Estimation of Power Systems | Junbo Zhao (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Elsevier Science | EAN 9780128241578 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

Condition: New. 2026. paperback. . . . . .

paperback. Condition: New. Special order direct from the distributor.

Kartoniert / Broschiert. Condition: New. Elucidates theoretical motivations, definitions, formulations, and robustness enhancementEngages with emerging practical problems in the application of dynamic state estimation through case studiesProvides a roadmap for the transit.

Paperback. Condition: New. 1st. Robust Dynamic State Estimation of Power Systems demonstrates how to implement and apply robust dynamic state estimators to problems in modern power systems, thereby bridging the literatures of dynamic state estimation and robust estimation theory. The book presents Kalman filter algorithms, demonstrating how to build powerful, robust counterparts. Following sections build out case study-based implementations of robust Kalman filters to decontextualized applications across dynamic state estimation in power systems. Coverage encompasses theoretical backgrounds, motivations, problem formulation, implementations, uncertainties, anomalies and practical applications, such as generator parameter calibration, unknown inputs estimation, control failure detection, protection, and cyberattack detection. Future research topics are identified and discussed, including open research questions. The book will serve as a key reference for power system real-time monitoring, control center engineers, and graduate students for learning (course related work) and research.…

Paperback. Condition: new. Paperback. Robust Dynamic State Estimation of Power Systems Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: Brand New. 256 pages. 9.00x6.00x9.02 inches. In Stock.

Condition: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Paperback. Condition: New. 1st. Robust Dynamic State Estimation of Power Systems demonstrates how to implement and apply robust dynamic state estimators to problems in modern power systems, thereby bridging the literatures of dynamic state estimation and robust estimation theory. The book presents Kalman filter algorithms, demonstrating how to build powerful, robust counterparts. Following sections build out case study-based implementations of robust Kalman filters to decontextualized applications across dynamic state estimation in power systems. Coverage encompasses theoretical backgrounds, motivations, problem formulation, implementations, uncertainties, anomalies and practical applications, such as generator parameter calibration, unknown inputs estimation, control failure detection, protection, and cyberattack detection. Future research topics are identified and discussed, including open research questions. The book will serve as a key reference for power system real-time monitoring, control center engineers, and graduate students for learning (course related work) and research.…

Paperback. Condition: new. Paperback. Robust Dynamic State Estimation of Power Systems Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.