Today, many embedded or cyber-physical systems, e.g., in the automotive domain, comprise several control applications, sharing the same platform. It is well known that such resource sharing leads to complex temporal behaviors that degrades the quality of control, and more importantly, may even jeopardize stability in the worst case, if not properly taken into account. In this thesis, we consider embedded control or cyber-physical systems, where several control applications share the same processing unit. The focus is on the control-scheduling co-design problem, where the controller and scheduling parameters are jointly optimized. The fundamental difference between control applications and traditional embedded applications motivates the need for novel methodologies for the design and optimization of embedded control systems. This thesis is one more step towards correct design and optimization of embedded control systems. Offline and online methodologies for embedded control systems are covered in this thesis. The importance of considering both the expected control performance and stability is discussed and a control-scheduling co-design methodology is proposed to optimize control performance while guaranteeing stability. Orthogonal to this, bandwidth-efficient stabilizing control servers are proposed, which support compositionality, isolation, and resource-efficiency in design and co-design. Finally, we extend the scope of the proposed approach to non-periodic control schemes and address the challenges in sharing the platform with self-triggered controllers. In addition to offline methodologies, a novel online scheduling policy to stabilize control applications is proposed.
Uniquely focused on the contributions smart cities can make to climate change resilience, Urban Climate Adaptation and Mitigation offers evidence-based scientific solutions for improving cities' abilities to prepare for, recover from, and adapt to global climate-related events. Beginning with the observation of global environmental change, this book explores what sustainable smart projects are, how they are adopted and evaluated, and how they can address climate change challenges. It brings together a wide variety of disciplines such as planning, transportation, and waste management to address issues related to climate change adaptation and mitigation in cities.In general, many social science researchers lack cohesive, broad-based literature knowledge; Urban Climate Adaptation and Mitigation bridges this gap and informs different types of stakeholders on how they can enhance their preparation abilities to enable real-time responses and actions. Therefore, it is a valuable reference for researchers, professors, graduate students, city planners, and policy makers. Application-focused throughout, this book explores the complexities of urban systems and subsystems to support researchers, planners, and decision makers in their efforts toward developing more climate-resilient smart cities. - Provides a structured in-depth analysis of smart city cases from around the world - Introduces evidence-based toolkits and frameworks for assessing actual and/or potential contributions of smart city solutions to climate resilience - Includes state-of-the-art literature review and glossary
Set in the aftermath of Iran's fraudulent elections of 2009, Zahra's Paradise is the fictional graphic novel of the search for Mehdi, a young protestor who has vanished into an extrajudicial twilight zone.
Today, many embedded or cyber-physical systems, e.g., in the automotive domain, comprise several control applications, sharing the same platform. It is well known that such resource sharing leads to complex temporal behaviors that degrades the quality of control, and more importantly, may even jeopardize stability in the worst case, if not properly taken into account. In this thesis, we consider embedded control or cyber-physical systems, where several control applications share the same processing unit. The focus is on the control-scheduling co-design problem, where the controller and scheduling parameters are jointly optimized. The fundamental difference between control applications and traditional embedded applications motivates the need for novel methodologies for the design and optimization of embedded control systems. This thesis is one more step towards correct design and optimization of embedded control systems. Offline and online methodologies for embedded control systems are covered in this thesis. The importance of considering both the expected control performance and stability is discussed and a control-scheduling co-design methodology is proposed to optimize control performance while guaranteeing stability. Orthogonal to this, bandwidth-efficient stabilizing control servers are proposed, which support compositionality, isolation, and resource-efficiency in design and co-design. Finally, we extend the scope of the proposed approach to non-periodic control schemes and address the challenges in sharing the platform with self-triggered controllers. In addition to offline methodologies, a novel online scheduling policy to stabilize control applications is proposed.
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