Showing papers in "IFAC-PapersOnLine in 2015"

TL;DR: In this paper, the authors discuss the importance of industrial manufacturing for economy and society, including the question about the future of labor and technical and technological questions that have to be taken care of as well.

TL;DR: The SmartFactoryKL project as discussed by the authors developed a highly modular, multi-vendor production line based on common concepts and standardization activities, which was used as a sample reference for Industry 4.0.

TL;DR: In this article, the authors give an overview over existing combinations of Lean Production and automation technology, also called Lean Automation, and discuss major Industry 4.0 corner stones and links them to the well-proven Lean approach.

TL;DR: This paper develops several important extensions to the notion of a control barrier function, including conditions for the control law obtained by solving the quadratic program to be Lipschitz continuous and therefore to gives rise to well-defined solutions of the resulting closed-loop system.

TL;DR: A unified framework for integrating CPS in manufacturing is presented, an adaptive clustering method as an advanced analytical method for interconnected systems is described and at the end of the paper a case study of self-aware machines by CPS integration is presented.

TL;DR: A closer look at the underlying computer code of the well-known Tennessee Eastman Process model is taken, finding problems regarding the repeatability of simulation results and a solution in terms of a modified code is presented.

TL;DR: This paper generates provably collision free swarm behaviours by constructing swarm safety control barrier certificates by constructing double integrator dynamic model and a decentralized formulation is proposed as a less computationally intensive and more scalable solution.

TL;DR: In this article, the authors examine industrial practice and emerging research trends towards providing sustained MPC performance, including continuous performance monitoring, automated model reidentification, and automated adaptive MPC.

TL;DR: In this paper, the authors present an updated and comprehensive description of offset-free MPC algorithms for nonlinear (and linear) discrete-time systems, with the intended objectives of clarifying the main concepts, showing new results, highlighting subtleties by means of challenging applications.

TL;DR: LPVTools is a MATLAB toolbox for simulation, analysis, and design of parameter dependent control systems using the Linear Parameter-Varying (LPV) framework and contains data structures to represent both LFT and gridded types of LPV systems.

TL;DR: The proposed framework was applied to designing a Neural Network model for osteoarthritic bone fracture risk stratification, and a Decision Tree model for prediction of antibody-mediated kidney transplant rejection, and both models achieved high accuracy.

TL;DR: In this article, a Nonlinear Model Predictive Controller (NMPC) for the diesel engine air path is presented, where the objective is to regulate the intake manifold pressure (MAP) and compressor flow (MAF) to the specified set-points by coordinated control of the variable geometry turbine (VGT), and exhaust gas recirculation (EGR) valve.

TL;DR: Four laboratory experiments for Automatic Control and Robotics courses at the University of Alicante are developed based on Arduino and other existing equipment, concluding that the proposed experiments have been attractive to students and they have acquired the knowledge about hardware configuration and programming that was intended.

TL;DR: This paper discusses some implementation alternatives of image processing algorithms for the detection of cracks in building facades that should run in an embedded computing platform installed on UAVs.

TL;DR: In this article, a cooperative adaptive cruise control (CACC) approach is introduced which focuses on the reduction of vehicle emissions and fuel consumption in a scenario with two consecutive driving vehicles and infrastructure-to-vehicle (I2V) communication.

TL;DR: Challenges related to managing inconsistencies in models of systems from the domain of automated production systems are described and requirements for a discipline-spanning inconsistency management framework are derived.

TL;DR: The ARROWS EU project as discussed by the authors proposes to adapt and develop low-cost Autonomous Underwater Vehicle (AUV) technologies to significantly reduce the cost of archaeological operations, covering the full extent of archaeological campaign.

TL;DR: The aim is to provoke a change in aircraft transport towards: “Full-time, all-event availability of performance-enhancement electrical fly-by-wire”.

TL;DR: This paper presents solutions to the worst-case model predictive control (MPC) problem using a suite of mixed integer linear programming techniques, and demonstrates the comparative effectiveness of several existing worst- case MPC techniques, when applied to the problem of control subject to temporal logic specifications.

TL;DR: In this paper, the authors give an overview of recent developments in set-theoretic methods for nonlinear systems, with a particular focus on the activities in our own research group.

TL;DR: The proposed controller is based on the combination of control Barrier functions and control Lyapunov functions implemented as a state-based online quadratic program to achieve stability under input and state constraints, while simultaneously enforcing safety.

TL;DR: Load monitoring and identification is a method of determining electrical energy consumption and operation condition of individual appliances based on the analysis of composite load measured from the main power meter in a building as discussed by the authors.

TL;DR: In this article, a joint Zonotopic and Gaussian Kalman Filter (ZGKF) is proposed for the robust fault detection of discrete-time LTV systems simultaneously subject to bounded disturbances and Gaussian noises.

TL;DR: In this paper, the role of low rotational inertia and different grid topology setups on power system stability for a three-area power system was investigated, and both analytical and simulation-based insights, extend previous results for a two area power system.

TL;DR: This work replaces `0-norm by `1-norm, which retains sparse property, and provides recoverable conditions for identifying SL systems via ` 1-norm minimization program, but also shows that `2-norm estimator is robust to bounded noise.

TL;DR: An impossibility result is established that shows that exact average consensus cannot be achieved by any algorithm that preserves differential privacy, which motives the design of a differentially private discrete-time distributed algorithm that corrupts messages with Laplacian noise and is guaranteed to achieve average consensus in expectation.

TL;DR: The proposed technique performs the traditional canonical variate analysis with KDE (CVA-KDE) in the kernel space generated from kernel PCA, which accounts for the nonlinearity in the process data while the CVA captures the process dynamics.

TL;DR: In this article, the authors consider robust multi-scenario Model Predictive Control (MPC) for building climate control and show that it robustly stabilizes the system while a standard MPC controller violates state constraints and becomes infeasible.

TL;DR: The new strategy, tested over a Proportional/Integral/Differential (PID) controller for a vertical mono-rotor plant, provides low-cost real-time support to the controller and friendly remote access from mobile devices to the practices for the students.