Learn More
Model Predictive Control (MPC) is shown to provide a robust, flexible framework to stabilize inventories yet still meet customer demand with minimal safety stock. The translation of available information in the supply chain problem into MPC variables is demonstrated with a two-node supply chain example. A six-node, two-product, three-echelon demand network(More)
—A distance and speed estimation algorithm for OFDM based radar is analysed statistically. The maximum likelihood estimator is derived and compared to previous results. A connection to spectral analysis is drawn, simplifying the analysis of the estimator in question. Finally, a method to evaluate the performance of the algorithm is presented and conclusions(More)
This paper considers the use of constrained minimum crest factor multisine signals as inputs for plant-friendly identification testing of chemical process systems. The methodology presented here effectively integrates operating restrictions, information-theoretic requirements, and state-of-the-art optimization techniques to design minimum crest factor(More)
Model Predictive Control (MPC) offers an attractive way to systematically address uncertainty in demand forecasts, factory execution, or external supply and effectively mitigate potential under-damped responses in the closed-loop system. However, other practical concerns may preclude the use of classical formulations of MPC. Of particular importance is the(More)
Cardinal symptoms of Parkinson's disease (PD) respond well to treatment with levodopa and deep brain stimulation (DBS) of the subthalamic nucleus (STN). However, it has remained unclear whether levodopa and STN-DBS have differential effects on bradykinesia. We investigated 8 PD-patients with STN-electrodes in four conditions: STN-DBS and levodopa(More)
Model predictive control (MPC) is presented as a robust, flexible decision framework for dynamically managing inventories and satisfying customer demand in demand networks. In this paper, a formulation and the benefits of an MPC-based, control-oriented tactical inventory management system meaningful to the semiconductor industry are presented via two(More)
— Cognitive Radios observe the spectral environment through spectrum estimation. In particular, reconfigurable Software Defined Radio architectures generate large amounts of sample data, which can be computationally expensive to analyse. Compression by time-shifted random preintegration prior to spectrum estimation reduces the amount of data to be(More)
The term " plant-friendly " system identification has been used within the chemical process control research community in reference to the broad-based goal of accomplishing informative identification testing while meeting the demands of industrial practice. While many different identification topics (such as control-relevant identification, closed-loop(More)
—In this paper, we present a measurement testbed for OFDM radar which uses USRPs as a front-end. The resulting system, using two USRPs and a laptop, requires little power and can thus be easily installed in vehicles to perform measurements for car-to-car or car-to-infrastructure applications. As an example, we show how signals parametrized according to the(More)
After having reported preliminary results of soft system stabilization according to Graf in a series of 27 patients with degenerative disc disease of the lumbar spine in early 1995 the authors report long term clinical and radiological results of this patient series (n = 25). At a mean period of postoperative observation of 50 months excellent, good,(More)