scispace - formally typeset
A

Alberto Sangiovanni-Vincentelli

Researcher at University of California, Berkeley

Publications -  946
Citations -  47259

Alberto Sangiovanni-Vincentelli is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Logic synthesis & Finite-state machine. The author has an hindex of 99, co-authored 934 publications receiving 45201 citations. Previous affiliations of Alberto Sangiovanni-Vincentelli include National University of Singapore & Lawrence Berkeley National Laboratory.

Papers
More filters
Proceedings ArticleDOI

Hybrid tracking control for spark-ignition engines

TL;DR: The design of a torque tracking controller for a spark ignition engine and a hybrid model that describes the interacting behavior of the intake manifold, the engine, the power-train and the catalytic converter is illustrated.
Proceedings ArticleDOI

Constraints Assisted Modeling and Validation in Metropolis Framework

TL;DR: This paper focuses on quantitative constraints specified with logic of constraints (LOC) and coordination constraints with linear temporal logic (LTL) that are used in the specification, modeling, and validation of heterogeneous embedded system design.
Proceedings ArticleDOI

Hybrid control of the air-fuel ratio in force transients for multi-point injection engines

TL;DR: The problem of delivering as quickly as possible a requested torque produced by a spark ignition engine equipped with a multi-point port injection manifold and with drive-by-wire electronics is addressed using a detailed, cycle-accurate hybrid model and hybrid control approaches.
Book ChapterDOI

Platform-Based Embedded Software Design for Multi-vehicle Multi-modal Systems

TL;DR: This paper presents a methodology for the design of embedded controllers for multi-vehicle multi-modal systems predicated upon the principles of platform-based design, which uses layers of abstraction to isolate applications from low-level system details and yet provides enough information about the important parameters of the lower layers to modularize the system design and to provide predictable system performance.
Journal ArticleDOI

Gordian: Formal Reasoning-based Outlier Detection for Secure Localization

TL;DR: The range-based localization problem is considered and a method to detect coordinated adversarial corruption on anchor positions and distance measurements is proposed and Gordian, a rapidly finds attacks by identifying geometric inconsistencies at the graph level without requiring assumptions about hardware, ranging mechanisms, or cryptographic protocols is proposed.