A highly accessible and unified approach to the design and analysis of intelligent control
systems Adaptive Approximation Based Control is a tool every control designer should have …

Metaheuristics are a relatively new but already established approach to combinatorial
optimization. A metaheuristic is a generic algorithmic template that can be used for finding …

A new approach to gain scheduling linear dynamic controllers is illustrated for a pitch-axis
autopilot design problem. In this application the linear controllers are designed at distinct …

A little know technique for systematically designing nonlinear regulators is analyzed. The
technique consists of first using direct parameterization to bring the nonlinear system to a …

A nonlinear control problem has been posed by Bupp et al. to provide a benchmark for
evaluating various nonlinear control design techniques. In this paper, the capabilities of the …

Linear matrix inequalities (LMIs) have emerged recently as a useful tool for solving a
number of control problems. The basic idea of the LMI method in control is to interpret a …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology impacts all areas of the …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

State-dependent Riccati equation (SDRE) techniques are rapidly emerging as general
design and synthesis methods of nonlinear feedback controllers and estimators for a broad …

Over 15 billion dollars is spent on energy for residential air-conditioning alone each year,
and air conditioning remains the largest source of peak electrical demand. Improving the …