YALMIP

YALMIP Yet another LMI parser. YALMIP is a free MATLAB toolbox for rapid prototyping of optimization problems. The package initially aimed at the control community and focused on semidefinite programming, but the latest release extends this scope significantly. YALMIP 3 can be used for linear programming, quadratic programming, second order cone programming, semidefinite programming, non-convex semidefinite programming, mixed integer programming, multi-parametric programming, geometric programming The main features of YALMIP are: Easy to install since it is entirely based on MATLAB code. Easy to learn : 3 new commands is all the user needs to get started. Easy to use : you define your constraints and objective functions using intuitive and standard MATLAB code. Automatic categorization of problems, and automatic solver selection Supports numerous external solvers, both free and commercial. The solvers supported by YALMIP are currently CDD, CSDP, CPLEX, DSDP, GLPK, KYPD, LINPROG, LMILAB, MAXDET, MOSEK, MPT, NAG, OOQP, PENBMI, PENSDP, QUADPROG, SDPA SDPT3 and SEDUMI.


References in zbMATH (referenced in 976 articles , 1 standard article )

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  1. Aguiar, Charles; Leite, Daniel; Pereira, Daniel; Andonovski, Goran; Škrjanc, Igor: Nonlinear modeling and robust LMI fuzzy control of overhead crane systems (2021)
  2. Ahmadi, Amir Ali; El Khadir, Bachir: Time-varying semidefinite programs (2021)
  3. Amir, Tal; Basri, Ronen; Nadler, Boaz: The trimmed lasso: sparse recovery guarantees and practical optimization by the generalized soft-min penalty (2021)
  4. Anderson, A.; González, A. H.; Ferramosca, A.; Hernandez-Vargas, E. A.: Discrete-time MPC for switched systems with applications to biomedical problems (2021)
  5. Bramburger, Jason J.; Henderson, Christopher: The speed of traveling waves in a FKPP-Burgers system (2021)
  6. Carvalho, Sidney Roberto; Moreno, Ubirajara Franco: Optimal design for manipulation of random consensus over discrete information in networked systems (2021)
  7. Chen, Zhongzhu; Fampa, Marcia; Lambert, Amélie; Lee, Jon: Mixing convex-optimization bounds for maximum-entropy sampling (2021)
  8. Cheraghiyan, M.: A new separated fault estimator and fault-tolerant control design strategy for uncertain nonlinear systems using T-S fuzzy modeling (2021)
  9. Cheung, Kam-Fung; Bell, Michael G. H.: Improving connectivity of compromised digital networks via algebraic connectivity maximisation (2021)
  10. de Oliveira, Matheus Senna; Pereira, Renan Lima: On unknown input observers designs for discrete-time LPV systems with bounded rates of parameter variation (2021)
  11. Dickinson, Peter J. C.; de Zeeuw, Reinier: Generating irreducible copositive matrices using the stable set problem (2021)
  12. Ferrante, Francesco; Prieur, Christophe: Boundary control design for conservation laws in the presence of measurement disturbances (2021)
  13. Francesco Ceccon, Ruth Misener: Solving the pooling problem at scale with extensible solver GALINI (2021) arXiv
  14. Guo, Feng; Jiao, Liguo: On solving a class of fractional semi-infinite polynomial programming problems (2021)
  15. Hamdipoor, Vahid; Moon, Jun; Kim, Yoonsoo: Sensitivity-based link addition for robust linear dynamical networks (2021)
  16. Hashikura, Kotaro; Jaafar, Jad Musaddiq Bin; Kojima, Akira; Kamal, Md Abdus Samad; Yamada, Kou: LQ preview state feedback with output regulation constraint (2021)
  17. Jennawasin, Tanagorn; Banjerdpongchai, David: Iterative LMI approach to robust static output feedback control of uncertain polynomial systems with bounded actuators (2021)
  18. Keles, Natália A.; Agulhari, Cristiano M.; Lacerda, Márcio J.: Stability analysis and robust performance of periodic discrete-time uncertain systems via structured Lyapunov functions (2021)
  19. Kim, Donghwan; Fessler, Jeffrey A.: Optimizing the efficiency of first-order methods for decreasing the gradient of smooth convex functions (2021)
  20. Kim, Han Sol; Lee, Kwangil; Joo, Young Hoon: Decentralized sampled-data fuzzy controller design for a VTOL UAV (2021)

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