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Found 14 papers, 2 papers with code
Contouring Error Bounded Control for Biaxial Switched Linear Systems
To address the need for improved contouring accuracy in industrial machines with position-dependent structural flexibility, this paper introduces a novel contouring error-bounded control algorithm for biaxial switched linear systems.
A Control Barrier Function Composition Approach for Multi-Agent Systems in Marine Applications
The agents within a multi-agent system (MAS) operating in marine environments often need to utilize task payloads and avoid collisions in coordination, necessitating adherence to a set of relative-pose constraints, which may include field-of-view, line-of-sight, collision-avoidance, and range constraints.
Gradient-enhanced deep Gaussian processes for multifidelity modelling
Multifidelity models integrate data from multiple sources to produce a single approximator for the underlying process.
Stochastic Co-design of Storage and Control for Water Distribution Systems
To address these limitations, we introduce a method to simultaneously design infrastructure and develop control parameters, the co-design problem, with the aim of improving the overall efficiency of the system.
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems
Moving horizon estimation (MHE) offers benefits relative to other estimation approaches by its ability to explicitly handle constraints, but suffers increased computation cost.
Asynchronous Event-Triggered Control for Non-Linear Systems
With the increasing ubiquity of networked control systems, various strategies for sampling constituent subsystems' outputs have emerged.
Lazy Probabilistic Roadmaps Revisited
This paper describes a revision of the classic Lazy Probabilistic Roadmaps algorithm (Lazy PRM), that results from pairing PRM and a novel Branch-and-Cut (BC) algorithm.
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates
The cyclic-small-gain theorem is used to derive sufficient conditions on the quantization parameters for guaranteeing the stability of the system under a limited data rate.
Data-driven Predictive Tracking Control based on Koopman Operators
Constraint handling during tracking operations is at the core of many real-world control implementations and is well understood when dynamic models of the underlying system exist, yet becomes more challenging when data-driven models are used to describe the nonlinear system at hand.
Explicit Time-Optimal Speed Profiles for Planar Paths with Monotone Curvature
Minimum-time speed profiles are constructed for planar paths with smooth strictly-monotonic signed curvature, subject to constraints on velocity, normal acceleration and tangential acceleration.
Individual and Team Trust Preferences for Robotic Swarm Behaviors
We formulate a linear optimization problem to locate a trusted behavior in the feature space.
Temporal Logic Planning for Minimum-Time Positioning of Multiple Threat-Seduction Decoys
The task of a decoy reaching a state in which the lock of the assigned threat can be broken is formulated as a temporal logic specification.
Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control
In this research, a novel economic model predictive control (EMPC) framework for real-time management of WDSs is proposed.
Ordinal Optimisation for the Gaussian Copula Model
We present results on the estimation and evaluation of success probabilities for ordinal optimisation over uncountable sets (such as subsets of $\mathbb{R}^{d}$).
Optimization and Control Probability
