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Showing 1 to 12 of 12 for “"linear matrix inequalities (LMIs)"”.

  1. Decentralized control of linear switched systems with receding horizon

    … for controller synthesis are obtained via Linear Matrix Inequalities (LMIs). Using known derivations for a centralized controller with look-ahead, we were able to extend the decentralized problem with finite memory to include receding horizon modal information. We then compare the …

    uiuc Repository record for Decentralized control of linear switched systems with receding horizon (opens in a new tab)

  2. Robust Control for Inter-area Oscillations

    … on system stability, it is possible to use Linear Matrix Inequalities (LMIs) to design a multi-objective state feedback. The LMI optimization finds a control law that stabilizes several contingencies simultaneously using a polytopic model of the system. However, the number of cases to be …

    vt Repository record for Robust Control for Inter-area Oscillations (opens in a new tab)

  3. Robust stability and contraction analysis of nonlinear systems via semidefinite optimization

    … of stability and performance problems for linear and certain classes of nonlinear dynamical systems can be formulated as convex optimization problems involving linear matrix inequalities (LMIs). These formulations can be solved numerically with computationally-effcient interior-point …

    mit Repository record for Robust stability and contraction analysis of nonlinear systems via semidefinite optimization (opens in a new tab)

  4. Switched Markov Jump Linear Systems: Analysis and Control Synthesis

    Markov jump linear systems find application in many areas including economics, fault-tolerant control, and networked control. Despite significant attention paid to Markov jump linear systems in the literature, few authors have investigated Markov jump linear systems with time-inhomogeneous Markov …

    vt Repository record for Switched Markov Jump Linear Systems: Analysis and Control Synthesis (opens in a new tab)

  5. Feedback control design for closed-loop oscillations via dominant system theory

    Stable oscillations, arising from nonlinear non-equilibrium dynamics, are an important class of behavior in both nature and engineering. For engineering applications like robotic locomotion, it is usually desirable to induce oscillations in a controlled manner. While plenty of feedback control …

    cambridge Repository record for Feedback control design for closed-loop oscillations via dominant system theory (opens in a new tab)

  6. Stacked-Switched Electrolytic Capacitor-less AC/DC Power Converters

    … is developed using H_infinity synthesis with Linear Matrix Inequalities (LMIs), ensuring voltage stability under uncertainty and distortion. Experimental results confirm dynamic performance and low output distortion. Together, these contributions support next-generation EV charging systems …

    york Repository record for Stacked-Switched Electrolytic Capacitor-less AC/DC Power Converters (opens in a new tab)

  7. Robust Modular Control over Graph-Structured Feedback Architectures

    … introduce a modular feedback synthesis based on linear matrix inequalities (LMIs) that guarantees closed-loop stability for all admissible feedback gains by sharing a common Lyapunov function. From a coalitional control viewpoint, the modular structure assigns a feedback block to each …

    sevilla Repository record for Robust Modular Control over Graph-Structured Feedback Architectures (opens in a new tab)

  8. Plantwide dynamic operability analysis from network perspective

    … the degree of complexity, interactions, and nonlinearity of the processes. This thesis provides a framework of dynamic operability assessment for general nonlinear plantwide processes based on the concept of dissipative systems and network perspective. An entire large-scale system is represented …

    unsw Repository record for Plantwide dynamic operability analysis from network perspective (opens in a new tab)

  9. Iterative learning control: algorithm development and experimental benchmarking

    … the trial dynamics. Control theory for discrete linear repetitive processes is used to design ILC control laws that enable the control of both trial-to-trial error convergence and along the trial dynamics. These algorithms can be computed using Linear Matrix Inequalities (LMIs) and again the …

    soton Repository record for Iterative learning control: algorithm development and experimental benchmarking (opens in a new tab)

  10. Robust Predictive Control for Legged Locomotion

    … tractable, robust controllers based on nonlinear hybrid systems theory, model predictive control, and optimization for the real-time planning and control of agile locomotion in quadrupedal robots. Toward this objective, this thesis first investigates layered control architectures. In …

    vt Repository record for Robust Predictive Control for Legged Locomotion (opens in a new tab)

  11. Robust scheduling control of aeroelasticity.

    … The controllers are constructed using a Linear Parameter Varying (LPV) framework, where the plant and controllers can be represented as linear systems which are functions of a parameter, in this case airspeed. The LPV controllers are constructed using Linear Matrix Inequalities (LMIs), …

    adelaide Repository record for Robust scheduling control of aeroelasticity. (opens in a new tab)

  12. Control-systems based analysis and design methods for scanning probe microscopy

    Recent demonstrations of nanoscience provide ample evidence indicating the feasibility of rational control, manipulation and interrogation of matter at the atomic scale. A class of devices, with micro-sized sensor probes, called Scanning Probe Microscopes (SPMs) are in the forefront of the …

    uiuc Repository record for Control-systems based analysis and design methods for scanning probe microscopy (opens in a new tab)