Results for discrete-time systems

Explore advanced mathematical programming and optimization models designed to empower strategic business and management decision-making. This resource delves into both theoretical frameworks and practical applications, including intricate techniques for optimization and multiobjective control within complex timediscrete systems, providing critical insights for enhanced efficiency and problem-solving.

Explore the foundational concepts of Discrete Time Signal Processing with this introductory guide. Designed for beginners, this resource covers the essential principles of digital signal processing, from sampling and quantization to fundamental system analysis, providing a clear path to understanding DSP introduction and its practical applications. Master the signal processing basics necessary for further study in this crucial field.

Explore the revolutionary field of computational science, pioneered by Stephen Wolfram, which redefines our understanding of the universe through simple rules and emergent complexity. This 'new kind of science' proposes that fundamental processes across physics, biology, and computation can be explained by discrete systems like cellular automata, offering a powerful paradigm shift in scientific inquiry and discovery.

This field explores the intricate dynamics and bifurcations present in non-smooth mechanical systems. These systems, characterized by sudden changes due to friction, impacts, or switching, often exhibit complex nonlinear behavior. Understanding their stability and how their qualitative behavior changes through bifurcation analysis is crucial for design and control in engineering applications.

This research area explores advanced strategies for the control of singular systems, specifically focusing on scenarios where these systems experience unpredictable and sudden changes. The challenge lies in developing robust methodologies to maintain stability and performance, ensuring reliable operation despite the inherent randomness and abruptness of these dynamic shifts in the system's behavior.

Delve into the world of Erlang programming, a powerful functional language championed by its co-creator, Joe Armstrong. This robust technology is essential for building highly concurrent, fault-tolerant, and distributed systems, making it a cornerstone for scalable and reliable applications.

Delve into the core principles of synchronization algorithms, essential for building robust and efficient concurrent programming solutions. This topic covers fundamental techniques to manage shared resources and prevent data inconsistencies in multithreaded and parallel computing environments.

Cloud application architectures define the strategic blueprint for building and deploying robust, scalable, and resilient applications within cloud environments. This encompasses selecting appropriate services, implementing cloud-native design patterns, and optimizing for performance, cost, and security across various public, private, or hybrid cloud infrastructures.

Mastering microservice architecture involves a critical alignment of foundational principles with effective implementation practices. This guide delves into key microservice principles, offering best practices for designing and deploying resilient, scalable distributed systems. Understand how to bridge the gap between architectural theory and practical application to build highly efficient and maintainable microservices.

Explore the comprehensive Argus Reference Manual, a foundational document co-authored by prominent computer scientists Barbara Liskov and Mark Day. This manual provides in-depth technical specifications and guidance for the Argus programming language, a pioneering system designed for building robust and fault-tolerant distributed applications.