Limit cycle stability analysis and adaptive control of a multi-compartment model for a pressure-limited respirator and lung mechanics system VijaySekhar Chellaboina a; Wassim M. Haddad b; Hancao Li b;James M. Bailey c a Advanced Technology Center, Tata Consultancy Services, Hyderabad, India 500081 b School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150, USA c ...

This paper proposes a genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) hybrid approach for job-shop scheduling problems. In the hybrid approach, GA is used to iterate for searching optimal solutions, CSANN is used to obtain feasible solutions during the iteration of genetic algorithm. Simulations have shown the valid performance of the proposed hybrid approach ...

The broad goal of adaptive techniques is to acquire knowledge dynamically about the search space and to use this knowledge to bias the evolutionary process. The effectiveness of any adaptive technique is therefore determined by the biases being used. In this paper we identify four key biases introduced by adaptive recombination operators and analyse the relationship between these biases. We use...

in this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. this adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. in addition, an important feature of the proposed structure is that the conventional bias existing ...

Extensive experimental data and an accompanying theoretical model are presented for the self-limiting profiles and Ga segregation on patterned GaAs(111)B substrates during metalorganic vapor-phase epitaxy of Al(x)Ga(1-x)As. Self-limiting widths and segregation of Ga produce quantum dots along the base of pyramidal recesses bounded by (111)A planes and quantum wires along the vertical axis of th...

Abstract Noise and interference are the two most common basic problems in wireless communication systems. The noise channels has characteristics of randomness impulsivity, so performance adaptive filtering algorithms based on geometric algebra (GA) second-order statistics is greatly reduced In order to improve systems, this paper proposes novel GA-based algorithms, which deduced from robust min...

Source mask optimization (SMO) is an effective method for improving the image quality of high-node lithography. Reasonable algorithm critical issue in SMO. A GA-APSO hybrid algorithm, combining genetic (GA) and adaptive particle swarm (APSO), was proposed to inversely obtain global optimal distribution pixelated source lithographic imaging process. The computational efficiency improved by GA PS...

Adaptive behavior is mainly the result of adaptive brains. We go a step beyond and claim that the brain does not only adapt to its surrounding reality but rather, it builds itself up to constructs its own reality. That is, rather than just trying to passively understand its environment, the brain is the architect of its own reality in an active process where its internal models of the external ...

This paper presents Adaptive Population Sizing Genetic Algorithm (AGA) assisted Maximum Likelihood (ML) estimation of Orthogonal Frequency Division Multiplexing (OFDM) symbols in the presence of Nonlinear Distortions. The proposed algorithm is simulated in MATLAB and compared with existing estimation algorithms such as iterative DAR, decision feedback clipping removal, iteration decoder, Geneti...