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      by 
      Tepljakov, Aleksei. author.
      Format: 
      Excerpt: 
      using fractional-order calculus. It describes the development of model-based control design methods for
      by 
      Garcia-Hernandez, Ramon. author.
      Format: 
      Excerpt: 
      robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data
      by 
      Gao, Qing. author.
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      Excerpt: 
      controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can
      by 
      Chen, Xiaoming. author.
      Format: 
      Excerpt: 
      synthesis, and bounding positivity-preserving observer and filtering design for a variety of both discrete
      by 
      Chen, Lei. author.
      Format: 
      Excerpt: 
      for graduates majoring in flight vehicle design and related fields.
      by 
      Shen, Jun. author.
      Format: 
      Excerpt: 
      optimal gain performances. Owing to their low computational complexity, the established controller design
      by 
      Cai, Chenxiao. author.
      Format: 
      Excerpt: 
      -aerial-vehicle hovering. It also presents solutions to analysis and design problems in terms of linear matrix inequalities
      by 
      Kabziński, Jacek. editor.
      Format: 
      Excerpt: 
      , adaptive control, Lyapunov techniques, observer design, model predictive control, neural control, sliding
      by 
      Wiśniewski, Remigiusz. author.
      Format: 
      Excerpt: 
      interpreted Petri net, which naturally reflects the concurrent and sequential relationships of the design. The
      by 
      Li, Fanbiao. author.
      Format: 
      Excerpt: 
      , robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis
      by 
      Chadli, Mohammed. editor.
      Format: 
      Excerpt: 
      , unconventional algorithms in control engineering, signals and communications. The control and design of complex
      by 
      Petit, Nicolas. editor.
      Format: 
      Excerpt: 
      Theory as a Tool for the Design of Hybrid Control Systems -- Part III: New Perspectives -- Linear