منابع مشابه
State-Space Formulas for Gain-Scheduled 1-Optimal Controllers
Design of gain-scheduled controllers has attracted wide attention in H∞ control. Within the framework of 1-optimal control, a novel method for gain-scheduled output-feedback control has been proposed recently using a special control structure. This paper extends this method to more general linear parameter-varying systems. Furthermore an explicit way of constructing the resulting gain-scheduled...
متن کاملRobust Fixed-order Gain-scheduling Autopilot Design using State-space Stability-Preserving Interpolation
In this paper, a robust autopilot is proposed using stable interpolation based on Youla parameterization. The most important condition of stable interpolation between local controllers is the preservation of stability so that each local controller can ensure stability for an open neighborhood around a nominal point. The proposed design used fixed-order robust controller with parameter-dependent...
متن کاملA Power Efficient Gain Enhancing Technique for Current Mirror
This work introduces a new and simple method for adjusting the gain of current mirror. The major advantage of the proposed architecture is that, unlike the conventional variable gain current mirror, it does not need the change of the biasing current to adjust current gain. Therefore, the power dissipation remains constant in all of the gain settings. In addition, the proposed variable gain curr...
متن کاملExplicit Space-Time Codes Achieving The Diversity-Multiplexing Gain Tradeoff
A recent result of Zheng and Tse states that over a quasi-static channel, there exists a fundamental tradeoff, referred to as the diversity-multiplexing gain (D-MG) tradeoff, between the spatial multiplexing gain and the diversity gain that can be simultaneously achieved by a space-time (ST) block code. This tradeoff is precisely known in the case of i.i.d. Rayleigh-fading, for T ≥ nt + nr − 1 ...
متن کاملDecision-tree instance-space decomposition with grouped gain-ratio
This paper examines a decision-tree framework for instance-space decomposition. According to the framework, the original instance-space is hierarchically partitioned into multiple subspaces and a distinct classifier is assigned to each subspace. Subsequently, an unlabeled, previously-unseen instance is classified by employing the classifier that was assigned to the subspace to which the instanc...
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: Nature Photonics
سال: 2013
ISSN: 1749-4885,1749-4893
DOI: 10.1038/nphoton.2013.144