On Identification of Parallel Cascade Serial Systems
نویسندگان
چکیده
منابع مشابه
Variance Results for Parallel Cascade Serial Systems
Modelling dynamic networks is important in different fields of science. At present, little is known about how different inputs and sensors contribute to the statistical properties concerning an estimate of a specific dynamic system in a network. We consider two forms of parallel serial structures, one multiple-input-multiple-output structure and one single-inputmultiple-output structure. The qu...
متن کاملOn Identification of Cascade Systems
The objective of this contribution is to discuss some aspects of system identification of cascade systems. Models of such systems are important in for example cascade control applications. We will restrict our attention to systems with one input signal and two output signals. First, we will analyze some fundamental limitations regarding the statistical properties of such estimates, and in parti...
متن کاملFrom Serial Loops to Parallel Execution on Distributed Systems
Programmability and performance portability have been, and continue to be, two major challenges in scientific computing. So far, auto-parallelization has provided sub-optimal solutions, as autogenerated code tends to under-perform and is commonly limited to shared memory environments. In this paper, we build upon an existing run-time system designed to efficiently schedule and execute fine-grai...
متن کاملFrom Serial Loops to Parallel Execution on Distributed Systems
Programmability and performance portability are two major challenges in today’s dynamic environment. Algorithm designers targeting efficient algorithms should focus on designing high-level algorithms exhibiting maximum parallelism, while relying on compilers and runtime systems to discover and exploit this parallelism, delivering sustainable performance on a variety of hardware. The compiler to...
متن کاملParallel versus Serial Classifier Combination for Multibiometric Hand-Based Identification
This paper presents an approach for optimizing both recognition and processing performance of a biometric system in identification mode. Multibiometric techniques facilitate bridging the gap between desired performance and current unimodal recognition rates. However, traditional parallel classifier combination techniques, such as Score sum, Borda count and Highest rank, cause further processing...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2011
ISSN: 1474-6670
DOI: 10.3182/20110828-6-it-1002.02068