A new linear prediction method using sparse constraints is also described, enabling improved coding performance of the HEVC standard, particularly for images with complex textures based on repeated structures. Finally, the authors present a new, generalized intra-prediction fram…
This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images. The authors begin with a review of …
STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALS Discover the control engineering skills for state space control system design, simulation, and implementation State space control system design is one of the core courses covered in engineering programs a…
This book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based method is developed. Secondly, direct parameter identification methods are developed. Thirdly, the seldom-focused-on issues s…
This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to st…
Predictive Control is aimed at students wishing to learn predictive control, as well as teachers, engineers and technicians of the profession. The book proposes a simple predictive controller where the control laws are given in clear text that requires no calculations. Adjustmen…
This book has 13 chapters. The first chapter of this book not only provides an overview of the scope and generality provided by self-tuning control schemes, but also indicates where such a scheme might be of benefit and how it complements and augments other control techniques. C…
The book reviews developments in the following fields: process models; parameter estimation; adaptive prediction; transfer-function models; Kalman filter; state-space approaches; periodic series; nonlinear processes; GMDH; neural networks; quasiperiodic series; predictive contro…
