An optimal neuron evolution algorithm for the restoration of linearly distorted images is presented in this paper. The proposed algorithm is motivated by the symmetric positive-definite quadratic programming structure inherent in restoration. Theoretical analysis and experimental results show that the algorithm not only significantly increases the convergence rate of processing, hut also produces good restoration results. In addition, the algorithm provides a genuine parallel processing structure which ensures computationally feasible spatial domain image restoration
标签： restoration evolution algorithm distorted
上传时间： 2013-12-21
上传用户：yy541071797
In an electromagnetic cloak based on a transformation approach, reduced sets of material properties are generally favored due to their easier implementation in reality, although a seemingly inevitable drawback of undesired reflection exists in such cloaks. Here we suggest using high-order transformations to create smooth moduli at the outer boundary of the cloak, therefore completely eliminating the detrimental scattering within the limit of geometric optics. We apply this scheme to a non-magnetic cylindrical cloak and demonstrate that the scattered field is reduced substantially in a cloak with optimal quadratic transformation as compared to its linear counterpart.
标签： electromagnetic transformation properties approach
上传时间： 2017-03-30
上传用户：pkkkkp
Short description: A MAX-MIN Ant System (MMAS) implemented in the Hyper-Cube Framework for the application to Unconstrained Binary quadratic Programming (UBQP). Aim of the software: Educational (not high-performance) it shows how to implement a MMAS in the Hyper-Cube Framework.
标签： description implemented Hyper-Cube Framework
上传时间： 2014-11-26
上传用户：蠢蠢66
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
标签： filter efficient estimates recursive
上传时间： 2017-08-06
上传用户：风之骄子
Improved guaranteed cost control and quantum adaptive control are developed in this study for a quadrotor helicopter with state delay and actuator faults. Improved guaranteed cost control is designed to eliminate disturbance effects and guarantee the robust stability of a quadrotor helicopter with state delay. The inapplicability of guaranteed cost control to the quadrotor linear model is addressed by combining guaranteed cost control with a model reference linear quadratic regulator. In the event of actuator faults, quadrotor tracking performance is maintained through quantum adaptive control. Finally, the availability of the proposed scheme is verified through numerical simulation
标签： Control Helicopter Guaranteed Quadrotor Adaptive Strategy Improved Quantum Delay State
上传时间： 2017-07-15
上传用户：bingzi_ml
Despite the development of a now vast body of knowledge known as modern control theory, and despite some spectacular applications of this theory to practical situations, it is quite clear that some of the theory has yet to find application, and many practical control problems have yet to find a theory that will successfully deal with them. No one book, of course, can remedy the situation. The aim of this book is to construct bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control theory.
标签： quadratic Optimal Control Methods Linear
上传时间： 2020-06-10
上传用户：shancjb
