This paper studies the futuremodel prediction and robustmodel predictive control (RMPC) design for linear parameter varying systems with bounded parameter changes. By developing tight bound estimations for varying parameters, we construct a set-valuedmap as the predicted family of futuremodels. This construction attains accurate estimations and thus reduces conservativeness. Based on model pred...

This paper proposes a novel robust control scheme based on delay-dependent H∞for unified power quality conditioner (UPQC) in a microgrid under the influence of the delay and parameter uncertainties. A new UPQC model considering the effects of the delay and parameter uncertainties is established. Then, the H∞ controller is designed based on the cone complementarity linearization (CCL) algorithm....

This paper describes a robust and non-fragile H∞ controller design method for descriptor systems with parameter uncertainties and time delay, as well as a static state feedback controller with multiplicative uncertainty. The controller existence condition, as well as its design method, and the measure of non-fragility in the controller are proposed using linear matrix inequality (LMI) technique...

This paper considers the design of robust`1 estimators based on multiplier theory (which is intimately related to the mixed structured singular value). Speciically, the Popov-Tsypkin multiplier is used to develop an upper bound on an`1 cost function over an uncertainty set. The robust`1 estimation problem is formulated as a parameter optimization problem in which the upper bound is minimized su...

Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simulation experiment. The Simultaneous Perturbation Stochastic Approximation (SPSA) method has the advantage over similar methods of requiring only 2 measurements at each iteration of the search. This feature makes SPSA att...

This paper studies the high-performance robust motion control of machine tools. The newly proposed adaptive robust control (ARC) is applied to make the resulting closed-loop system robust to model uncertainties, instead of the disturbance observer (DOB) design previously tested by many researchers. Compared to DOB, the proposed ARC has a better tracking performance and transient in the presence...

A new optimization approach for robust design, design for multi-objective six sigma (DFMOSS) has been developed and applied to robust aerodynamic airfoil design for Mars exploratory airplane. The present robust aerodynamic airfoil design optimization using DFMOSS successfully showed the trade-off information between maximization and robustness improvement in aerodynamic performance by a single ...

This paper is concerned with the problem of designing robust H2 state-feedback controllers for continuous-time Markov jump linear systems subject to polytopic-type parameter uncertainty. Based on the parameter-dependent Lyapunov function approach, a new method for designing robust H2 controllers is presented in terms of solutions to a set of linear matrix inequalities. A numerical example is gi...

With recent advances in low-power low-cost communication, sensing, and actuation technologies, Cyber Physical Systems (CPS) have revolutionized automated medical diagnostics and care, building energy management, and smart grids. With this revolution, dawns a new era of CPS monitoring where fusing measurements from multiple devices provides unprecedented early detection of critical events. Howev...