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Kirjailija

Chaoqing Jia

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2025–2026, suosituimpiin kuuluu Variance-Constrained Filtering for Stochastic Complex Systems. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuvuodet: 2025–2026.

Variance-Constrained Filtering for Stochastic Complex Systems

Variance-Constrained Filtering for Stochastic Complex Systems

Jun Hu; Zidong Wang; Chaoqing Jia

Springer Nature Switzerland AG
2025
sidottu
This book is concerned with the variance-constrained optimized filtering problems and their potential applications for nonlinear time-varying dynamical systems. The distinguished features of this book are highlighted as follows. (1) A unified framework is provided for handling the variance-constrained filtering problems of nonlinear time-varying dynamical systems with incomplete information. (2) The application potentials of variance-constrained optimized filtering in networked time-varying dynamical systems are outlined. It contains some new concepts, new models and new methodologies with practical significance in control engineering and signal processing. It is a collection of several research results and thereby serves as a useful reference for upper undergraduate, postgraduate and engineers who are interested in studying (i) the variance-constrained filtering, (ii) recent advances affected by incomplete information and (iii) potential applications in practical engineering systems.
Variance-Constrained Filtering for Stochastic Complex Systems

Variance-Constrained Filtering for Stochastic Complex Systems

Hu Jun; Wang Zidong; Chaoqing Jia

Springer Nature Switzerland AG
2026
Nidottu
This book is concerned with the variance-constrained optimized filtering problems and their potential applications for nonlinear time-varying dynamical systems. The distinguished features of this book are highlighted as follows. (1) A unified framework is provided for handling the variance-constrained filtering problems of nonlinear time-varying dynamical systems with incomplete information. (2) The application potentials of variance-constrained optimized filtering in networked time-varying dynamical systems are outlined. It contains some new concepts, new models and new methodologies with practical significance in control engineering and signal processing. It is a collection of several research results and thereby serves as a useful reference for upper undergraduate, postgraduate and engineers who are interested in studying (i) the variance-constrained filtering, (ii) recent advances affected by incomplete information and (iii) potential applications in practical engineering systems.