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 136 articles )

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  1. Bergeling, Carolina; Morris, Kirsten A.; Rantzer, Anders: Closed-form H-infinity optimal control for a class of infinite-dimensional systems (2020)
  2. Bernardi, Emanuel; Adam, Eduardo J.: Observer-based fault detection and diagnosis strategy for industrial processes (2020)
  3. Kim, Jisu; Kim, Hongkeun: Synchronization of Lur’e-type nonlinear systems in linear dynamical networks having fast convergence rate and large DC gain (2020)
  4. Thuan, Mai Viet; Sau, Nguyen Huu; Huyen, Nguyen Thi Thanh: Finite-time (H_\infty) control of uncertain fractional-order neural networks (2020)
  5. Xie, Wei; He, Wei; Wu, WeiLin; Zhang, LangWen: Switching controller design for linear time invariant plant with a single I/O delay (2020)
  6. Zhang, Xiao-Wei; Wu, Huai-Ning: Switching state observer design for semilinear parabolic PDE systems with mobile sensors (2020)
  7. Cimini, Gionata; Bemporad, Alberto: Complexity and convergence certification of a block principal pivoting method for box-constrained quadratic programs (2019)
  8. Phat, Vu Ngoc; Thuan, Mai Viet; Tuan, Tran Ngoc: New criteria for guaranteed cost control of nonlinear fractional-order delay systems: a Razumikhin approach (2019)
  9. Tuan, Le A.; Phat, Vu N.: Existence of solutions and finite-time stability for nonlinear singular discrete-time neural networks (2019)
  10. Wu, Huai-Ning; Zhang, Xiao-Wei: Integrated design of switching control and mobile actuator/sensor guidance for a linear diffusion process (2019)
  11. Yadbantung, Rungroj; Bumroongsri, Pornchai: Tube-based robust output feedback MPC for constrained LTV systems with applications in chemical processes (2019)
  12. Ahiyevich, U. M.; Parsegov, S. E.; Shcherbakov, P. S.: Upper bounds on peaks in discrete-time linear systems (2018)
  13. Anwar, M. Fazeel; Rehman, Mutti-Ur: Numerical computation of lower bounds of structured singular values (2018)
  14. Feng, Shuang; Wu, Huai-Ning: Robust adaptive fuzzy control for a class of nonlinear coupled ODE-beam systems with boundary uncertainty (2018)
  15. Gritli, Hassène; Belghith, Safya: Robust feedback control of the underactuated inertia wheel inverted pendulum under parametric uncertainties and subject to external disturbances: LMI formulation (2018)
  16. Kusii, S. M.: Stabilization and attenuation of bounded perturbations in discrete control systems (2018)
  17. Protas, Bartosz; Sakajo, Takashi: Harnessing the Kelvin-Helmholtz instability: feedback stabilization of an inviscid vortex sheet (2018)
  18. 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)
  19. Scherer, Carsten W.; Veenman, Joost: Stability analysis by dynamic dissipation inequalities: on merging frequency-domain techniques with time-domain conditions (2018)
  20. Xie, Xiaochen; Lam, James: Guaranteed cost control of periodic piecewise linear time-delay systems (2018)

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