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Edson Denis Leonel
Scale Invariance in Nonlinear Dynamical Systems

Nonlinear Physical Science

This book aims to explore the scale invariance present in certain nonlinear dynamical systems. We will discuss both ordinary differential equations (ODEs) and discrete-time maps. The loss of predictabilit…

lieferbar innerhalb 2-3 Wochen

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Yuriy S. Shmaliy
Recursive State Estimation

Since 1960-1961, when Rudolf E. Kalman has published his seminal work on discrete-time recursive optimal filtering and, together with Richard S. Bucy, on continuous-time optimal filtering of linear nonsta…

lieferbar ab 11.11.2026.

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Liliana Blanco-Castaneda, Viswanathan Arunachalam
Applied Stochastic Modeling

Synthesis Lectures on Mathematics & Statistics

This book provides essential theoretical tools for stochastic modeling. This Second Edition includes expanded discussion of the most used models in applications such as Markov chains with discrete-time pa…

lieferbar in mind. 4 Wochen

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Biswanath Samanta
Introduction to Digital Control

This textbook presents an integrated approach to digital (discrete-time) control systems covering analysis, design, simulation, and real-time implementation through relevant hardware and software platform…

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Haitao Li, Xinrong Yang, Wenrong Li
From Boolean Matrix Theory to Logical Dynamical Systems

This book offers a systematic platform for the theory of Boolean matrix and its application in logical dynamical systems. As a special kind of non-negative matrix, Boolean matrix has wide applications in …

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Alexander J. Zaslavski
Turnpike Phenomenon for Markov Decision Processes

SpringerBriefs in Mathematics

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for d…

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Hybrid Modeling and Simulation

Simulation Foundations, Methods and Applications

The unique book advances understanding of modelling complex systems using hybrid approaches that combine discrete-event, agent-based, and system dynamic simulations with research approaches and artefacts …

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Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Recent Trends in Modelling the Continuous Time Series Using Deep Learning

This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addr…

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Du¿an Stipanovi¿
Difference Equations and Machine Learning

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

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Ravindra Munje, Balasaheb Patre, Weidong Zhang
Multi-stage Feedback Control Design for Multi-time-scale System

Springer Tracts in Electrical and Electronics Engineering

This book presents multi-stage feedback control designs for the system with multi-time-scale behaviour both in the continuous time domain and discrete-time domain. Multi-time-scale systems have widely sep…

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