Adaptive Data-Driven Inventory Control Policies Based on Kaplan-Meier Estimator

Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator

Using the well-known product-limit form of the Kaplan-Meier estimator from statistics, we propose a new class of nonparametric adaptive data-driven policies for stochastic inventory control problems. We focus on the distribution-free newsvendor model with censored demands. The assumption is that the demand distribution is not known and there are only sales data available. We study the theoretic...

Adaptive Data-Driven Inventory Control Policies Based on Kaplan-Meier Estimator for Censored Demand

Adaptive Data-Driven Inventory Control Policies Based on Kaplan-Meier Estimator for Censored Demand Woonghee Tim Huh Sauder School of Business, University of British Columbia, Vancouver, BC, Canada, V6T 1Z2. [email protected] Retsef Levi Sloan School of Management, MIT, Cambridge, MA, 02139 USA [email protected] Paat Rusmevichientong School of Operations Research and Information Engineering, C...

Electronic Companion — “ Adaptive Data - Driven Inventory Control with Censored Demand Based on Kaplan - Meier Estimator

Adaptive RBF network control for robot manipulators

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...

Discrete time robust control of robot manipulators in the task space using adaptive fuzzy estimator

This paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. A novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. Parameters of the fuzzy estimator are adapted to minimize the estimat...