Alessandro Pinto
Alessandro Pinto
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Optimal design of a class of hybrid systems with uncertain parameters
Many modern engineering systems can be mathematically modeled as hybrid systems. For many such systems, there may be uncertain …
George Mathew
,
Alessandro Pinto
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Synthesis of distributed execution platforms for cyber-physical systems with applications to high-performance buildings
We propose a methodology, and its embodiment into a design flow, to realize execution platforms for high-performance building …
Francesco Leonardi
,
Alessandro Pinto
,
Luca P Carloni
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A design flow for building automation and control systems
We propose a system-level design flow for building automation and control (BAC) systems. The input to the design flow is a high level …
Yang Yang
,
Alessandro Pinto
,
Alberto Sangiovanni-Vincentelli
,
Qi Zhu
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A model-based end-to-end toolchain for the probabilistic analysis of complex systems
We present a model-based environment for the probabilistic analysis of systems operating under uncertain conditions. This uncertainty …
Alessandro Pinto
,
Sudha Krishnamurthy
,
Suresh Kannan
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Analysis of Stochastic Automata Networks using copula functions
In this paper we develop a copula based approximation framework for scalable analysis of Stochastic Automata Networks (SAN) arising in …
Amit Surana
,
Alessandro Pinto
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Correct-by-construction design of aircraft electric power systems
We provide an optimization oriented formalization of correct-by-construction design following the principles of Platform-Based Design.1 …
Alessandro Pinto
,
Sandor Becz
,
Hayden Reeve
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Design system for managing complexity in aerospace systems
A new generation of aerospace systems has introduced more-electric technologies and highly coupled architectures, leading to a …
Sandor Becz
,
Alessandro Pinto
,
Lawrence Zeidner
,
Ritest Khire
,
Hayden Reeve
,
Andrzej Banaszuk
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Developing design tools for uncertain systems in an industrial setting
We motivate the need for a cyber-physical system analysis and design tool that embraces uncertainty as key characteristic of these type …
Alessandro Pinto
,
Sudha Krishnamurthy
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Markov modeling of stochastic hybrid systems
Hybrid systems are a useful abstraction for systems that have a combination of discrete and continuous dynamics. For typical examples …
George Mathew
,
Alessandro Pinto
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A case study in distributed deployment of embedded software for camera networks
We present an embedded software application for the real-time estimation of building occupancy using a network of video cameras. We …
Francesco Leonardi
,
Alessandro Pinto
,
Luca P Carloni
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