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 152 articles )

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  1. Wu, Huai-Ning; Zhang, Xiao-Wei: Guaranteed cost design for controlling semilinear parabolic PDE systems with mobile collocated actuators and sensors (2022)
  2. Anup Teejo Mathew, Ikhlas Ben Hmida, Costanza Armanini, Frederic Boyer, Federico Renda: SoRoSim: a MATLAB Toolbox for Soft Robotics Based on the Geometric Variable-strain Approach (2021) arXiv
  3. Balandin, D. V.; Fedyukov, A. A.: Stabilization of linear dynamic objects according to the measured-error state under constraints on the phase and control variables (2021)
  4. Cheraghiyan, M.: A new separated fault estimator and fault-tolerant control design strategy for uncertain nonlinear systems using T-S fuzzy modeling (2021)
  5. Huong, Dinh Cong; Thong, Le Ba; Yen, Dao Thi Hai: Output feedback control and output feedback finite-time control for nonlinear fractional-order interconnected systems (2021)
  6. Lewkowicz, Izchak: Passive linear continuous-time systems: characterization through structure (2021)
  7. Niamsup, P.; Phat, V. N.: (H_\infty) control for linear descriptor systems with non-differentiable delays in both state and observation (2021)
  8. Polyak, B. T.; Khlebnikov, M. V.; Shcherbakov, P. S.: Linear matrix inequalities in control systems with uncertainty (2021)
  9. Rehman, Mutti-Ur; Alzabut, Jehad; Brohi, Javed Hussain: Computing (\mu)-values for LTI systems (2021)
  10. Sun, Cheng-Xia; Liu, Xian: A state observer for the computational network model of neural populations (2021)
  11. Thuan, Mai V.; Niamsup, Piyapong; Phat, Vu N.: Finite-time control analysis of nonlinear fractional-order systems subject to disturbances (2021)
  12. Bergeling, Carolina; Morris, Kirsten A.; Rantzer, Anders: Closed-form H-infinity optimal control for a class of infinite-dimensional systems (2020)
  13. Bernardi, Emanuel; Adam, Eduardo J.: Observer-based fault detection and diagnosis strategy for industrial processes (2020)
  14. Huong, Dinh Cong; Thuan, Mai Viet: Mixed (H_\infty) and passive control for fractional-order nonlinear systems via LMI approach (2020)
  15. Khadivar, Farshad; Sadeghnejad, Soroush; Moradi, Hamed; Vossoughi, Gholamreza: Dynamic characterization and control of a parallel haptic interaction with an admittance type virtual environment (2020)
  16. Kim, Jisu; Kim, Hongkeun: Synchronization of Lur’e-type nonlinear systems in linear dynamical networks having fast convergence rate and large DC gain (2020)
  17. Phat, Vu; Niamsup, Piyapong; Thuan, Mai V.: A new design method for observer-based control of nonlinear fractional-order systems with time-variable delay (2020)
  18. Thuan, Mai Viet; Sau, Nguyen Huu; Huyen, Nguyen Thi Thanh: Finite-time (H_\infty) control of uncertain fractional-order neural networks (2020)
  19. Xie, Wei; He, Wei; Wu, WeiLin; Zhang, LangWen: Switching controller design for linear time invariant plant with a single I/O delay (2020)
  20. Zhang, Xiao-Wei; Wu, Huai-Ning: Switching state observer design for semilinear parabolic PDE systems with mobile sensors (2020)

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