Mu Analysis and Synthesis Toolbox

The μ-Analysis and Synthesis Toolbox (μ-Tools) is a collection of functions (commands) developed primarily for the analysis and synthesis of control systems, with an emphasis on quantifying the effects of uncertainty. μ-Tools provides a consistent set of data structures for the unified treatment of systems in either a time domain, frequency domain, or state-space manner. μ-Tools also gives MATLAB® users access to recent developments in control theory, namely H∞ optimal control and m analysis and synthesis techniques. This package allows you to use sophisticated matrix perturbation results and optimal control techniques to solve control design problems. Control design software, such as μ-Tools, provides a link between control theory and control engineering.

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References in zbMATH (referenced in 110 articles )

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  1. Briat, Corentin: Stability analysis and stabilization of LPV systems with jumps and (piecewise) differentiable parameters using continuous and sampled-data controllers (2021)
  2. Limantseva, Olga; Halikias, George; Karcanias, Nicos: Nearest common root of a set of polynomials: a structured singular value approach (2020)
  3. Paulson, Joel A.; Buehler, Edward A.; Braatz, Richard D.; Mesbah, Ali: Stochastic model predictive control with joint chance constraints (2020)
  4. Apkarian, Pierre; Noll, Dominikus: Worst-case stability and performance with mixed parametric and dynamic uncertainties (2017)
  5. Ravanbod, Laleh; Noll, Dominikus; Apkarian, Pierre: Branch and bound algorithm with applications to robust stability (2017)
  6. Xie, R.; Gong, J. Y.: A probabilistic solution of robust (H_\infty) control problem with scaled matrices (2016)
  7. Buehner, Michael R.; Young, Peter M.: Robust adaptive feedforward control and achievable tracking for systems with time delays (2015)
  8. Iordanov, P.; Halton, M.: Computation of the real structured singular value via pole migration (2015)
  9. Xue, Dingyü; Chen, YangQuan: Modeling, analysis and design of control systems in MATLAB and Simulink (2015)
  10. Hansson, Anders; Vandenberghe, Lieven: Sampling method for semidefinite programmes with non-negative Popov function constraints (2014)
  11. Veenman, Joost; Scherer, Carsten W.: A synthesis framework for robust gain-scheduling controllers (2014)
  12. Veenman, Joost; Scherer, Carsten W.: IQC-synthesis with general dynamic multipliers (2014)
  13. Khadraoui, Sofiane; Rakotondrabe, Micky; Lutz, Philippe: Design of a fixed-order RST controller for interval systems: application to the control of piezoelectric actuators (2013)
  14. Lu, Jun-Guo; Chen, Yangquan; Chen, Weidong: Robust asymptotical stability of fractional-order linear systems with structured perturbations (2013)
  15. Osinuga, M.; Patra, S.; Lanzon, A.: An iterative algorithm for maximizing robust performance in (\mathcalH_\infty) loop-shaping design (2013)
  16. Sariyildiz, Emre; Ohnishi, Kouhei: Analysis the robustness of control systems based on disturbance observer (2013)
  17. Vermillion, Chris; Sun, Jing; Butts, Ken: Robust modular control system design using an inner-loop reference model and (\mu) synthesis techniques (2013)
  18. Ahmadi, Javad; Khaki-Sedigh, Ali; Ohadi, Abdolreza: Robustification of input redundant feedback systems using robust actuator weighting in the control allocation problem (2012)
  19. Chen, Shin-Ju; Yang, Sung-Pei; Shiau, Lin-Goei: Guardian map approach to robust stability of interval systems (2012)
  20. Pettazzi, Lorenzo; Lanzon, Alexander: Simultaneous optimization of performance weights and a controller in mixed-(\mu) synthesis (2012)

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