… Model predictive control (MPC) [1–2], as the main control … stabilizing robust predictive controller
without terminal constraint. These … so we need to construct polyhedral cover outer approx…

… using a nonlinear model predictive control (NMPC) system. To … constraints we will add to
the solution of the MPC controller … approximate thrust of 120 N. In this study, the mathematical …

… of the Taj Mahal was ordered through orthogonal grids. It is … geometric constraints include
Euclidean distance constraints … , we estimated the approximation error of the models created …

… in many different ways using the methods from machine learning, approximation theory and
… We use these two orthogonal dimensions to classify the recommender systems research in …

: 背景随着手机, 音响和可穿戴设备等智能终端的日益普及, 基于各种感知媒介的智能感知技术引起
了研究者的广泛关注. 由于不同类型的传感介质中WiFi 信号具有普适性突出, 硬件成本近零, 对…

… on default risk of Chinese listed tourism companies by using random oversampling, isomap,
and locally linear embeddings on imbalanced samples. Int J Hosp Manag 35: 141–151 367. …

… in many different ways using the methods from machine learning, approximation theory and
… We use these two orthogonal dimensions to classify the recommender systems research in …

在很多真实应用中, 数据以流的形式不断被收集得到. 由于数据收集环境往往发生动态变化, 流
数据的分布也会随时间不断变化. 传统的机器学习技术依赖于数据独立同分布假设, 因而在这类…