Control System Toolbox

Control System Toolbox™ provides industry-standard algorithms and apps for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state-space, zero-pole-gain or frequency-response model. Apps and functions, such as step response plot and Bode plot, let you visualize system behavior in time domain and frequency domain. You can tune compensator parameters using automatic PID controller tuning, Bode loop shaping, root locus method, LQR/LQG design, and other interactive and automated techniques. You can validate your design by verifying rise time, overshoot, settling time, gain and phase margins, and other requirements.

References in zbMATH (referenced in 92 articles )

Showing results 1 to 20 of 92.
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  1. Kusii, S. M.: Stabilization and attenuation of bounded perturbations in discrete control systems (2018)
  2. Protas, Bartosz; Sakajo, Takashi: Harnessing the Kelvin-Helmholtz instability: feedback stabilization of an inviscid vortex sheet (2018)
  3. Pujol-Vazquez, Gisela; Acho, Leonardo; Mobayen, Saleh; Nápoles, Amelia; Pérez, Vega: Rotary inverted pendulum with magnetically external perturbations as a source of the pendulum’s base navigation commands (2018)
  4. La-inchua, T.; Niamsup, P.; Liu, Xinzhi: Finite-time stability of large-scale systems with interval time-varying delay in interconnection (2017)
  5. Mazko, A. G.; Kusii, S. N.: Stabilization by a measurable output and estimation of the level of attenuation for perturbations in control systems (2017)
  6. Muros, Francisco Javier; Algaba, Encarnación; Maestre, José María; Camacho, Eduardo F.: The Banzhaf value as a design tool in coalitional control (2017)
  7. Thanh, Nguyen T.; Niamsup, P.; Phat, Vu N.: Finite-time stability of singular nonlinear switched time-delay systems: a singular value decomposition approach (2017)
  8. Wu, Huai-Ning; Zhu, Huan-Yu: Guaranteed cost fuzzy state observer design for semilinear parabolic PDE systems under pointwise measurements (2017)
  9. Muoi, N. H.; Rajchakit, G.; Phat, V. N.: LMI approach to finite-time stability and stabilization of singular linear discrete delay systems (2016)
  10. Sano, Hideki: On approximation of stability radius for an infinite-dimensional feedback control system. (2016)
  11. Trang, Ta T. H.; Phat, Vu N.; Samir, Adly: Finite-time stabilization and $H_\infty$ control of nonlinear delay systems via output feedback (2016)
  12. Tuan, Le A.; Phat, Vu N.: Finite-time stability and $H_\infty$ control of linear discrete-time delay systems with norm-bounded disturbances (2016)
  13. Veenman, Joost; Scherer, Carsten W.; Köroğlu, Hakan: Robust stability and performance analysis based on integral quadratic constraints (2016)
  14. Wunsch, A. David: A Matlab companion to complex variables (2016)
  15. Dong, Xiwang; Li, Qingdong; Ren, Zhang; Zhong, Yisheng: Formation-containment control for high-order linear time-invariant multi-agent systems with time delays (2015)
  16. Grewal, Mohinder S.; Andrews, Angus P.: Kalman filtering. Theory and practice with MATLAB (2015)
  17. Niamsup, Piyapong; Phat, Vu Ngoc: State feedback guaranteed cost controller for nonlinear time-varying delay systems (2015)
  18. Aykent, B.; Merienne, F.; Paillot, D.; Kemeny, A.: Influence of a new discrete-time LQR-based motion cueing on driving simulator (2014)
  19. Gumussoy, Suat; Gahinet, Pascal: Computer Aided Control System design for time delay systems using MATLAB$^\circledR$ (2014)
  20. Kressner, Daniel; Vandereycken, Bart: Subspace methods for computing the pseudospectral abscissa and the stability radius (2014)

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