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The design of a linear time-invariant controller for a given linear-time-invariant plant, like any engineering design, involves tradeoff among many desirable qualities, such as fast response to comman...
This paper proposes a formulation to provide necessary and sufficient conditions for robust stability of a family of matrices modeling linearized power system dynamics. A construction for transforming...
We consider linear time-invariant systems subject to real, parametric variations. The problem of computing the half-sidelength 1/mu_infinity of the largest stability hypercube in the parameter space i...
A method of computing the finite-horizon control inputs for FIR plants whose parameters are only known to lie in a set is proposed. The parameter set is assumed to be described by an ellipsoidal bound...
Robust control design for ellipsoidal plant set     Robust control design  the oval plants  the parameter matrix  oval set       font style='font-size:12px;'> 2015/8/12
Presents a control design method for continuous-time plants whose uncertain parameters in the output matrix are only known to lie in an ellipsoidal set. The desired control is chosen to minimize the m...
In this paper, we propose a robustness measure for LTI systems with causal, nonlinear diagonal perturbations with finite L_2-gain. We propose an algorithm to reliably compute this quantity. We show ho...
Many problems in engineering analysis and design can be cast as convex optimization problems, often nonlinear and nondifferentiable. We give a high-level description of recently developed interior-poi...
A static (steady-state) robust control design problem is considered using a nonlinear model of a thermal system. For a given operating point, the control problem is to determine a feedforward/feedback...
Gives some vague ideas about useful control design tools that might be based on LMI algorithms.
This paper describes how to efficiently solve a robust optimal control problem using recently developed primal-dual interior-point methods. Among potential applications are model predictive control. T...
Robust linear programming and optimal control     Linear programming  Convex optimization  Model-predictive control       font style='font-size:12px;'> 2015/8/11
We describe an efficient method for solving an optimal control problem that arises in robust model-predictive control. The problem is to design the input sequence that minimizes the peak tracking erro...
Uncertainty models are an essential ingredient in robust control design. In addition, because of the tradeoff between uncertainty and performance, the uncertainty model should be as ‘tight’ as possibl...
We describe a new method for tuning a certain family of low-bandwidth controllers for linear time-invariant and spatially-invariant (LTSI) plants. We consider LTSI controllers with a fixed structure, ...
This paper introduces an extension of minimum variance beamforming, also known as Capon's method, that explicitly takes into account variation or uncertainty in the assumed array response. Sources of ...
Design tools for emerging technologies     optimization  simulation  nanotechnology  computeraided design       font style='font-size:12px;'> 2015/8/10
The rapidly expanding diversity of technology available at the nanoscale is disrupting the existing transistor-centric microelectronics design paradigm, resulting in nearly decade-long delays between ...

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