Ostdeutschland

Kollmorgen, Raj

doi:10.1007/978-3-322-80784-7

Cited by 62 publications

(8 citation statements)

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“…The ballscrew is interfaced with the shaft of a permanent magnet synchronous machine via a timing belt with a 1:1 ratio. Typically, these types of transducers are used for positioning in the manufacturing industry and are commercially available, for example, from Kollmorgen [23,24].…”

Section: Energy Harvester Modelmentioning

confidence: 99%

“…The stationary covariance is then the equilibrium solution of equation (23); i.e., the solution with Σ(t) = 0. Although the resultant equation is reminiscent of an algebraic Lyapunov equation, it is in fact nonlinear, because V(t) depends on Σ(t).…”

Section: Stationary Covariancementioning

confidence: 99%

“…Although the resultant equation is reminiscent of an algebraic Lyapunov equation, it is in fact nonlinear, because V(t) depends on Σ(t). In general, the equilibrium solution to equation (23) can only be found iteratively.…”

Section: Stationary Covariancementioning

confidence: 99%

“…It is also important to recognize that equilibrium solutions of equation ( 23) may not necessarily be stable, and mean-square stability of any equilibrium solution must be checked. From classical linear system theory, we know that if A cl (t) were constant (i.e., if it did not depend on Σ(t)) then equation (23) would have a unique equilibrium, so long as A cl (t) does not have any two eigenvalues that sum to zero. Asymptotic stability of this unique equilibrium (and, therefore, achievement of stationarity of the covariance Σ(t)) then follows if and only if A cl (t) is asymptotically stable.…”

Section: Stationary Covariancementioning

confidence: 99%

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Statistically linearized optimal control of an electromagnetic vibratory energy harvester

Cassidy

Scruggs

2012

Smart Mater. Struct.

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In this paper, an extension of linear-quadratic-Gaussian (LQG) control theory is used to determine the optimal state feedback controller for a vibratory energy harvesting system with Coulomb friction. Specifically, the energy harvester is a base-excited single-degree-of-freedom (SDOF) resonant oscillator with an electromagnetic transducer attached between the base and the moving mass. The development of the optimal controller for this system is based on statistical linearization, whereby the Coulomb friction force is replaced by an equivalent linear viscous damping term, which is calculated from the stationary covariance of the closed-loop system. It is shown that the covariance matrix and optimal feedback gain matrix can be computed by implementing an iterative algorithm involving linear matrix inequalities (LMIs). Furthermore, this theory is augmented to account for a non-quadratic dissipation in the electronics used to control the energy conversion. Simulation results are presented for the SDOF energy harvester in which the performance of the optimal state feedback control law is compared to the performance of the optimal static admittance over a range of disturbance bandwidths.

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Section: Energy Harvester Modelmentioning

confidence: 99%

Section: Stationary Covariancementioning

confidence: 99%

Section: Stationary Covariancementioning

confidence: 99%

Section: Stationary Covariancementioning

confidence: 99%

See 2 more Smart Citations

Statistically linearized optimal control of an electromagnetic vibratory energy harvester

Cassidy

Scruggs

2012

Smart Mater. Struct.

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“…By 2005, only 22,500 of the previous 150,000 jobs still existed in the chemical industry of Sachsen and Sachsen-Anhalt. The effects of this restructuring were quite drastic, in part because the industry had to face a double transition related to both the transformation of the political and economic system, and the Fordist crisis which was strongly associated with ongoing globalisation processes (Kollmorgen 2005;Land 2006). ********************************** Insert Table 1 about here ********************************** The re-bundling processes that took place after reunification were initiated by the combined efforts and policies of the federal and Länder governments, aimed at securing existing jobs and creating new ones in competitive economic contexts.…”

Section: Restructuring Processes and Re-bundling Initiatives After Rementioning

confidence: 99%

Re-Bundling and the Development of Hollow Clusters in the East German Chemical Industry

Bathelt

2009

European Urban and Regional Studies

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After the reunification, drastic economic restructuring processes occurred in East Germany due to a double transition: the transformation of the political and economic system, and the Fordist crisis associated with ongoing globalization processes. The challenges and shifts were particularly strong in the chemical industry, which had developed a structure of mass production characterized by an unsustainable exploitation of natural and economic resources. Drawing on a conception that views transformation and restructuring as a process of regional ruptures and re-bundling, rather than one that focuses on the lock-in of old industrialized regions, this article investigates the extent to which restructuring activities have been able to generate self-sustaining regional economies and networks in the East German chemical industry.The article is based on empirical research conducted in the regions of Leuna, Schkopau and Bitterfeld-Wolfen, which provides evidence that restructuring in the chemical industry did not create fully fledged clusters with strong interfirm linkages.Although the regional economies of the East German chemical industry were well linked to West Germany and to international markets through corporate ties, networks for learning and innovation remained weak.The development of these ‘hollow clusters’ was due to the persistence of a small industry basis, the dominance of branch operations with few local ties, and the limited importance of start-up firms. Such conditions, consequently, limit the prospects for growth in the East German chemical industry, suggesting that more diversified regional policies must be developed in the future.

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Left Behind in Saxony and Ohio: An Explorative Case Study of East and West Between Transformation and Populism

Opitz

2024

Palgrave Insights Into Apocalypse Economics

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Ostdeutschland

Cited by 62 publications

References 0 publications

Statistically linearized optimal control of an electromagnetic vibratory energy harvester

Statistically linearized optimal control of an electromagnetic vibratory energy harvester

Re-Bundling and the Development of Hollow Clusters in the East German Chemical Industry

Left Behind in Saxony and Ohio: An Explorative Case Study of East and West Between Transformation and Populism

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