This paper provides some information and numerical tests that aims to investigate the use of a Fuzzy Controller applied to control systems. Some advantages are reported regarding the use of this controller, such as the characteristic ease of implementation due to its semantic feature in the statement of the control rules. On the other hand, it is also hypothesized that these systems have a lowe...

Sliding mode control systems have been recognized to be robust in the presence of exogenous perturbations. For a sliding mode control design, a known upper bound of the perturbation is usually assumed. In this paper, we present an adaptive algorithm for the estimation of this upper bound, and consequently there is no need for the exact knowledge of this quantity. Moreover, we have applied the p...

This chapter provides an introduction to semi active control of base isolated buildings using magnetorheological (MR) dampers. Recently developed nonlinear control algorithms are discussed. First a fuzzy logic control (FLC) is designed to decide how much voltage is required to be supplied to the MR damper for a desired structural response. The FLC is optimized using micro genetic algorithm. A n...

In this paper, some control strategies to design decentralized controllers are developed and discussed. These strategies are based on the Inclusion Principle, a very useful mathematical framework to obtain decentralized controllers, mainly when the systems are composed by overlapped subsystems sharing common parts. A five-story building model serves as example to show the advantages provided by...

Vibrating machinery such as pumps, generators and compressors normally use passive insulation materials to reduce sound radiation. This paper provides a practical examination of possible solutions to active control of machine enclosures that reduces the radiated sound intensity from the enclosure to the environment. The results show that a combination of simple sky-hook type feedback controller...

Two of the fundamental problems of control systems theory are controllability and observability, and designing control systems so that these properties can be satisfied or approximated sufficiently. However, it is prudent to assume that attackers will not only be able to subvert measurements but also control. Moreover, advanced adversaries with an understanding of the control system may seek to...

The design of closed-loop structural control systems necessitates a certain level of robustness to cope with system uncertainties. Neurocontrollers, a type of adaptive control system, have been proposed to cope with those uncertainties. However, the performance of neural networks can be substantially influenced by the choice of the input space, or the hyperspace in which the representation lies...

We relax the economic literature’s usual assumption that the structural relationship between emissions and ambient levels of pollution is known with certainty. We find that uncertainty over this relationship can manifest as a unique form of multiplicative uncertainty in the marginal damages from emissions. We show how the optimal stringency of environmental regulation depends on this structural...

The intractability in cooperative, decentralized control models is mainly due to prohibitive memory requirements in both optimal policies and value functions. The complexity analysis has emerged as the standard method to estimating the memory needed for solving a given computational problem, but complexity results may be somewhat limited. This paper introduces a general methodology— structural ...

Posttranslational modification by phosphorylation is a ubiquitous regulatory mechanism in both eukaryotes and prokaryotes. Intracellular phosphorylation by protein kinases, triggered in response to extracellular signals, provides a mechanism for the cell to switch on or switch off many diverse processes. These processes include metabolic pathways, kinase cascade activation, membrane transport, ...