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Proceedings ArticleDOI

Exponential Control Barrier Functions for enforcing high relative-degree safety-critical constraints

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TLDR
This work introduces Exponential Control Barrier Functions as means to enforce strict state-dependent high relative degree safety constraints for nonlinear systems and develops a systematic design method that enables creating the Exponential CBFs for non linear systems making use of tools from linear control theory.
Abstract
We introduce Exponential Control Barrier Functions as means to enforce strict state-dependent high relative degree safety constraints for nonlinear systems. We also develop a systematic design method that enables creating the Exponential CBFs for nonlinear systems making use of tools from linear control theory. The proposed control design is numerically validated on a relative degree 6 linear system (the serial cart-spring system) and on a relative degree 4 nonlinear system (the two-link pendulum with elastic actuators.)

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Citations
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Journal ArticleDOI

Control Barrier Function Based Quadratic Programs for Safety Critical Systems

TL;DR: This paper develops a methodology that allows safety conditions—expression as control barrier functions—to be unified with performance objectives—expressed as control Lyapunov functions—in the context of real-time optimization-based controllers.
Proceedings ArticleDOI

Control Barrier Functions: Theory and Applications

TL;DR: In this paper, the authors provide an introduction and overview of control barrier functions and their use to verify and enforce safety properties in the context of (optimization based) safety-critical controllers.
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Safety Barrier Certificates for Collisions-Free Multirobot Systems

TL;DR: This paper presents safety barrier certificates that ensure scalable and provably collision-free behaviors in multirobot systems by modifying the nominal controllers to formally satisfy safety constraints.
Posted Content

Control Barrier Functions: Theory and Applications

TL;DR: This paper provides an introduction and overview of recent work on control barrier functions and their use to verify and enforce safety properties in the context of (optimization based) safety-critical controllers.
Journal ArticleDOI

Control Barrier Function Based Quadratic Programs for Safety Critical Systems

TL;DR: In this paper, the authors present a methodology that allows safety conditions ( expressed as control barrier functions) to be unified with performance objectives (represented as control Lyapunov functions) in the context of real-time optimization-based controllers.
References
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Journal ArticleDOI

Survey Constrained model predictive control: Stability and optimality

TL;DR: This review focuses on model predictive control of constrained systems, both linear and nonlinear, and distill from an extensive literature essential principles that ensure stability to present a concise characterization of most of the model predictive controllers that have been proposed in the literature.
Journal ArticleDOI

Barrier Lyapunov Functions for the control of output-constrained nonlinear systems

TL;DR: This paper presents control designs for single-input single-output (SISO) nonlinear systems in strict feedback form with an output constraint, and explores the use of an Asymmetric Barrier Lyapunov Function as a generalized approach that relaxes the requirements on the initial conditions.
Journal ArticleDOI

A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games

TL;DR: An algorithm for computing the set of reachable states of a continuous dynamic game based on a proof that the reachable set is the zero sublevel set of the viscosity solution of a particular time-dependent Hamilton-Jacobi-Isaacs partial differential equation.
Journal ArticleDOI

A nonlinear small gain theorem for the analysis of control systems with saturation

TL;DR: A nonlinear small gain theorem is presented that provides a formalism for analyzing the behavior of certain control systems that contain or utilize saturation.
Proceedings ArticleDOI

Control barrier function based quadratic programs with application to adaptive cruise control

TL;DR: A control methodology that unifies control barrier functions and control Lyapunov functions through quadratic programs is developed, which allows for the simultaneous achievement of control objectives subject to conditions on the admissible states of the system.
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