LMI toolbox
Linear Matrix Inequalities (LMIs) and LMI techniques have emerged as powerful design tools in areas ranging from control engineering to system identification and structural design. The LMI Control Toolbox implements state-of-the-art interior-point LMI solvers. While these solvers are significantly faster than classical convex optimization algorithms, it should be kept in mind that the complexity of LMI computations remains higher than that of solving, say, a Riccati equation. For instance, problems with a thousand design variables typically take over an hour on today’s workstations. However, research on LMI optimization is still very active and substantial speed-ups can be expected in the future. Thanks to its efficient “structured” representation of LMIs, the LMI Control Toolbox is geared to making the most out of such improvements
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References in zbMATH (referenced in 1440 articles )
Showing results 1 to 20 of 1440.
Sorted by year (- Cheraghiyan, M.: A new separated fault estimator and fault-tolerant control design strategy for uncertain nonlinear systems using T-S fuzzy modeling (2021)
- Huang, Chih-Peng: Admissibility analysis and controller design for discrete singular time-delay systems embracing uncertainties in the difference and systems’ matrices (2021)
- Lewkowicz, Izchak: Passive linear continuous-time systems: characterization through structure (2021)
- Polyak, B. T.; Khlebnikov, M. V.; Shcherbakov, P. S.: Linear matrix inequalities in control systems with uncertainty (2021)
- Sun, Cheng-Xia; Liu, Xian: A state observer for the computational network model of neural populations (2021)
- Sun, Haoyuan; Sun, Jian; Chen, Jie: Analysis and synthesis of networked control systems with random network-induced delays and sampling intervals (2021)
- Thuan, Mai V.; Niamsup, Piyapong; Phat, Vu N.: Finite-time control analysis of nonlinear fractional-order systems subject to disturbances (2021)
- Wu, Huai-Ning; Zhang, Xiu-Mei; Wang, Jun-Wei; Zhu, Huan-Yu: Observer-based output feedback fuzzy control for nonlinear parabolic PDE-ODE coupled systems (2021)
- Andrievsky, B. R.; Furtat, I. B.: Disturbance observers: methods and applications. I: Methods (2020)
- Apkarian, Pierre; Noll, Dominikus: Optimizing the Kreiss constant (2020)
- Bachelier, Olivier; Cluzeau, Thomas; Silva Alvarez, Francisco José; Yeganefar, Nima: Stability of one-dimensioned spatially interconnected systems (2020)
- Bernardi, Emanuel; Adam, Eduardo J.: Observer-based fault detection and diagnosis strategy for industrial processes (2020)
- Carniato, Leonardo Ataide; Carniato, Alexandre Ataide; Teixeira, Marcelo Carvalho Minhoto; Cardim, Rodrigo; Mainardi, Edson Italo Jr.; Assunção, Edvaldo: Output control of continuous-time uncertain switched linear systems via switched static output feedback (2020)
- Chaudhry, Afraz Mehmood; Arshad Uppal, Ali; Alsmadi, Yazan M.; Bhatti, Aamer Iqbal; Utkin, Vadim I.: Robust multi-objective control design for underground coal gasification energy conversion process (2020)
- Chen, Wenbin; Xu, Shengyuan; Li, Yongmin; Zhang, Zhengqiang: Stability analysis of neutral systems with mixed interval time-varying delays and nonlinear disturbances (2020)
- Covacic, Márcio Roberto; Carvalho Minhoto Teixeira, Marcelo; de Carvalho, Aparecido Augusto; Cardim, Rodrigo; Assunção, Edvaldo; Sanches, Marcelo Augusto Assunção; Fujimoto, Henrique Shuiti; Mineo, Maxwell Simões; Biazeto, Anderson Ross; Gaino, Ruberlei: Robust T-S fuzzy control of electrostimulation for paraplegic patients considering norm-bounded uncertainties (2020)
- Dang, Hongtao; Wang, Le; Zhang, Yan; Yang, Jianye: Limited-budget formation control for high-order linear swarm systems with fix topologies (2020)
- Datta, Rupak; Dey, Rajeeb; Bhattacharya, Baby; Saravanakumar, Ramasamy; Kwon, Oh-Min: Stability and stabilization of T-S fuzzy systems with variable delays via new Bessel-Legendre polynomial based relaxed integral inequality (2020)
- Duan, Ruirui; Li, Junmin: Finite-time distributed (H_\infty) filtering for Takagi-Sugeno fuzzy system with uncertain probability sensor saturation under switching network topology: non-PDC approach (2020)
- El Youssfi, N.; El Bachtiri, R.; Zoulagh, T.; El Aiss, H.: Relaxed state and fault estimation for vehicle lateral dynamics represented by T-S fuzzy systems (2020)