We present a framework for systematically combining data of an unknown linear time-invariant system with prior knowledge on the matrices or uncertainty robust controller design. Our approach leads to matrix inequality (LMI) based feasibility criteria which guarantee stability and performance robustly all closed-loop systems consistent available data. The design procedures rely combination multi...

Penelitian ini bertujuan untuk mengetahui pengaruh pengetahuan awal dalam menyelesaikan masalah aritmatika dan mendeskripsikan pengenalan siswa aritmatika. Metode yang digunakan penelitian adalah metode campuran. Sebanyak 63 MTsN Batu Malang terlibat ini. Subyek 2 siswa. Kedua dipilih berdasarkan kemampuan mereka memberikan jawaban tertulis lisan. Instrumen pengumpulan data tes diagnostik pemec...

Abstract Computer-assisted textual enhancement (CATE) technology has been widely used to improve English as foreign language (EFL) learners’ syntactical and grammatical learning. Visual attention, repetition, prior knowledge are known the vital factors in CATE-assisted knowledge-acquisition; however, there still lacks a model which can describe those factors’ intrinsic cooperating-mechanism tha...

Bayesian statistics defines how new information, given by a likelihood, should be combined with previously acquired information, given by a prior distribution. Many experiments have shown that humans make use of such priors in cognitive, perceptual, and motor tasks, but where do priors come from? As people never experience the same situation twice, they can only construct priors by generalizing...