Results 11 to 20 of about 173,139 (267)

Reversible iterative graph processes [PDF]

Theoretical Computer Science, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mitre Costa Dourado, Lucia Draque Penso, Dieter Rautenbach, Jayme Luiz Szwarcfiter   +3 more
openaire   +2 more sources

A 2D systems approach to iterative learning control for discrete linear processes with zero Markov parameters [PDF]

, 2011
In this paper a new approach to iterative learning control for the practically relevant case of deterministic discrete linear plants with uniform rank greater than unity is developed.
Cai, Z, Rogers, E, Lukasz Hladowski, Freeman, C T, Eric Rogers, Chris T. Freeman, Galkowski, K, Krzysztof Galkowski, Hladowski, L, Lewin, P L, Zhonglun Cai, Paul L. Lewin   +11 more
core   +1 more source

KYP lemma based stability and control law design for differential linear repetitive processes with applications [PDF]

, 2013
Repetitive processes are a class of two-dimensional systems that have physical applications, including the design of iterative learning control laws where experimental validation results have been reported.
Galkowski, Krzysztof, Paszke, Wojciech, Rogers, Eric   +2 more
core   +1 more source

Optimal control of non-stationary differential linear repetitive processes [PDF]

, 2008
Differential repetitive processes are a distinct class of continuous discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is the fact that information ...
Rogers, E, M. Dymkov, Dymkov, M, K. Galkowski, E. Rogers, Galkowski, K, Dymkou, S, S. Dymkou   +7 more
core   +1 more source

Experimentally supported 2D systems based iterative learning control law design for error convergence and performance [PDF]

, 2010
This paper considers iterative learning control law design for both trial-to-trial error convergence and along the trial performance. It is shown how a class of control laws can be designed using the theory of linear repetitive processes for this problem
Hladowski, Lukasz, Freeman, Chis T, Cai, Zhonglun, Lewin, Paul L, Galkowski, Krzysztof, Rogers, Eric   +5 more
core   +1 more source

Frequency domain iterative feedforward/feedback tuning for MIMO ANVC [PDF]

, 2010
A new gradient estimation method is proposed that relies on efficient computation of the negative gradient of the average linear quadratic cost function completely in the frequency domain.
Veres, Sandor M., Sandor M. Veres, Jian Luo, Luo, Jian   +3 more
core   +1 more source

Fast iterative solvers for PDE-constrained optimization problems [PDF]

, 2013
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
core   +2 more sources

H∞ and guaranteed cost control of discrete linear repetitive processes [PDF]

, 2006
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest.
Owens, D H, Rogers, E, Paszke, W, Owens, David H., Galkowski, K, Paszke, Wojciech, Gałkowski, Krzysztof, Rogers, Eric   +7 more
core   +1 more source

LMIs - a Fundamental Tool in Analysis and Controller Design for Discrete Linear Repetitive Processes [PDF]

, 2002
Discrete linear repetitive processes are a distinct class of 2D linear systems with applications in areas ranging from long-wall coal cutting through to iterative learning control schemes.
Owens, D H, D. H. Owens, Rogers, E, J. Lam, S. Xu, Lam, J, Owens, DH, K. Galkowski, Eric Rogers, Galkowski, K, Senior Member, Xu, S   +11 more
core   +1 more source

LMI based stability analysis and robust controller design for discrete linear repetitive processes [PDF]

, 2003
Discrete linear repetitive processes are a distinct class of 2D linear systems with applications in areas ranging from long-wall coal cutting through to iterative learning control schemes.
Owens, D H, Rogers, E, Paszke, W, Lam, J, Owens, DH, Galkowski, K, Sulikowski, B, Xu, S   +7 more
core   +1 more source