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- Peter J. Seiler

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Engineering and Technology
D-index
33
Citations
6,846
206
World Ranking
4350
National Ranking
1608

- Control theory
- Artificial intelligence
- Algebra

Peter J. Seiler mainly focuses on Control theory, Mathematical optimization, Nonlinear system, Linear system and Control engineering. His work on Robustness, Control system and Control theory as part of general Control theory research is frequently linked to In vehicle, bridging the gap between disciplines. His research integrates issues of Polynomial, Explained sum of squares and Sum-of-squares optimization in his study of Mathematical optimization.

The study incorporates disciplines such as Property, Class, Set and Look-ahead in addition to Nonlinear system. His Linear system research is multidisciplinary, incorporating elements of Linear matrix inequality, Network packet and Applied mathematics. In his study, Norm, Network synthesis filters and Communications system is inextricably linked to Feedback loop, which falls within the broad field of Linear matrix inequality.

- An H/sub /spl infin// approach to networked control (663 citations)
- Disturbance propagation in vehicle strings (437 citations)
- Estimation with lossy measurements: jump estimators for jump systems (257 citations)

His primary areas of investigation include Control theory, Nonlinear system, Quadratic equation, Mathematical optimization and Robustness. He combines subjects such as Turbine and Aerodynamics with his study of Control theory. His Nonlinear system research integrates issues from Control system, Operator, Set, Reachability and Bounded function.

The various areas that Peter J. Seiler examines in his Quadratic equation study include Frequency domain, Interconnection, Dissipation inequality and Applied mathematics. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Polynomial and Propagation of uncertainty. His study connects Linear matrix inequality and Linear system.

- Control theory (48.75%)
- Nonlinear system (20.42%)
- Quadratic equation (16.25%)

- Control theory (48.75%)
- Quadratic equation (16.25%)
- Nonlinear system (20.42%)

His primary areas of study are Control theory, Quadratic equation, Nonlinear system, Applied mathematics and Turbine. His study on Robustness is often connected to Fault detection and isolation as part of broader study in Control theory. His Nonlinear system study incorporates themes from Wake and Electric power system.

His Applied mathematics research includes elements of Equilibrium point, Reachability, Dissipation inequality, Iterative method and Polynomial. His Turbine study combines topics in areas such as Marine engineering, Wind power, Control theory and Clipper. Peter J. Seiler works mostly in the field of Frequency domain, limiting it down to concerns involving Linear system and, occasionally, Linear matrix inequality.

- Finite horizon robustness analysis of LTV systems using integral quadratic constraints (15 citations)
- Flight testing flutter suppression on a small flexible flying-wing aircraft (12 citations)
- LPV Model Order Reduction by Parameter-Varying Oblique Projection (11 citations)

- Control theory
- Artificial intelligence
- Algebra

The scientist’s investigation covers issues in Control theory, Applied mathematics, Wing, Flutter and Nonlinear system. His studies in Control theory integrate themes in fields like Equivalence and Stability result. His work carried out in the field of Applied mathematics brings together such families of science as Equilibrium point, Quadratic equation and Set.

His Quadratic equation research incorporates themes from Dissipation inequality and Robustness. The concepts of his Flutter study are interwoven with issues in PID controller and Flight control surfaces. He has included themes like Polynomial and Reachability in his Nonlinear system study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

An H/sub /spl infin// approach to networked control

P. Seiler;Raja Sengupta.

IEEE Transactions on Automatic Control **(2005)**

896 Citations

Disturbance propagation in vehicle strings

P. Seiler;A. Pant;K. Hedrick.

IEEE Transactions on Automatic Control **(2004)**

552 Citations

New developments in sum of squares optimization and SOSTOOLS

S. Prajna;A. Papachristodoulou;P. Seiler;P.A. Parrilo.

american control conference **(2004)**

399 Citations

Analysis of communication losses in vehicle control problems

P. Seiler;R. Sengupta.

american control conference **(2001)**

391 Citations

Estimation with lossy measurements: jump estimators for jump systems

S.C. Smith;P. Seiler.

IEEE Transactions on Automatic Control **(2003)**

376 Citations

Development of a collision avoidance system

Peter J Seiler;Bongsob Song;J. Karl Hedrick.

Automotive engineering international **(1998)**

326 Citations

Brief paper: Local stability analysis using simulations and sum-of-squares programming

Ufuk Topcu;Andrew Packard;Peter Seiler.

Automatica **(2008)**

281 Citations

SOSTOOLS Version 3.00 Sum of Squares Optimization Toolbox for MATLAB.

Antonis Papachristodoulou;James Anderson;Giorgio Valmorbida;Stephen Prajna.

arXiv: Optimization and Control **(2013)**

180 Citations

A bounded real lemma for jump systems

P. Seiler;Raja Sengupta.

IEEE Transactions on Automatic Control **(2003)**

180 Citations

Mesh stability of look-ahead interconnected systems

A. Pant;P. Seiler;K. Hedrick.

IEEE Transactions on Automatic Control **(2002)**

171 Citations

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