Adaptive framework for remote monitoring and management of computer systems

Yalçın, Gülşah
Oğuztüzün, Mehmet Halit S.


Adaptive Control Algorithm for Linear Systems with Matched and Unmatched Uncertainties
Yayla, Metehan; Kutay, Ali Türker (2016-12-14)
In this paper, a new uncertainty identification method is introduced for both matched and unmatched uncertainties in an uncertain dynamical system. Online identifications of matched and unmatched uncertainties that can be linearly parameterized are ensured without requiring persistent excitation (PE) condition. Furthermore, constant weight matrices that parameterizes the unstructured uncertainties are guaranteed to stay bounded without PE. Findings are implemented on a hybrid adaptive control design, and gl...
Adaptive decentralized control of interconnected systems
Sezer, ME; Altunel, H (2004-08-01)
This paper presents a decentralized adaptive stabilization scheme for a class of interconnected systems using high-gain adaptive controllers. The nominal subsystems are assumed to satisfy some mild conditions required by standard adaptive control schemes, and the interconnections certain structural conditions. The decentralized controllers are high-gain dynamic systems operating on local outputs to generate local control inputs. Both continuous-time and sampled-data controllers are considered. The idea behi...
Adaptive evolution strategies in structural optimization: Enhancing their computational performance with applications to large-scale structures
Hasançebi, Oğuzhan (2008-01-01)
In this study the computational performance of adaptive evolution strategies (ESs) in large-scale structural optimization is mainly investigated to achieve the following objectives: (i) to present an ESs based solution algorithm for efficient optimum design of large structural systems consisting of continuous, discrete and mixed design variables; (ii) to integrate new parameters and methodologies into adaptive ESs to improve the computational performance of the algorithm; and (iii) to assess successful self...
Adaptive estimation of autoregressive models under long-tailed symmetric distribution
Yentür, Begüm; Bayrak, Özlem Türker; Akkaya, Ayşen (2019-07-08)
In this paper, we consider the autoregressive models where the error term is non-normal; specifically belongs to a long-tailed symmetric distribution family since it is more relevant in practice than the normal distribution. It is known that least squares (LS) estimators are neither efficient nor robust under non-normality and maximum likelihood (ML) estimators cannot be obtained explicitly and require a numerical solution which might be problematic. In recent years, modified maximum likelihood (MML) estima...
Abdulwahab, Bassam; Tayfun, Nesimoglu; Electrical and Electronics Engineering (2021-9)
Power Amplifiers (PA) are widely used in mobile communication systems, yet power amplifiers have a non-linear region which is the major problem in all communication and radar systems. Moreover, PAs show a low power efficiency when operating in their linear region and are highly non-linear when operating in their high-efficiency region. To overcome such issues, there are different methods to linearize PAs and other methods to enhance their power efficiency. These linearization methods are built to meet a cer...
Citation Formats
G. Yalçın and M. H. S. Oğuztüzün, “Adaptive framework for remote monitoring and management of computer systems,” 2017, Accessed: 00, 2021. [Online]. Available: