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Enhancements of the encoding strategy of a discrete bidirectional associative memory (BAM) reported by B. Kosko (1987) are presented. There are two major concepts in this work: multiple training, which can be guaranteed to achieve recall of a single trained pair under suitable initial conditions of data, and dummy augmentation, which can be guaranteed to(More)
In this paper the problem of developing bidding strategies for the participants of dynamic oligopolistic electricity markets is studied. Attention is given to strategic bidding of load serving entities (LSE) in these markets. We model oligopolistic electricity markets as non-linear dynamical systems and use discrete-time Nash bidding strategies. We assume a(More)
Necessary and sufficient conditions are derived for the weights of a generalized correlation matrix of a bidirectional associative memory (BAM) which guarantee the recall of all training pairs. A linear programming/multiple training (LP/MT) method that determines weights which satisfy the conditions when a solution is feasible is presented. The sequential(More)
The strategy of data fusion has been applied in threat prediction and situation awareness and the terminology has been standardized by the Joint Directors of Laboratories (JDL) in the form of a so-called JDL data fusion model, which currently called DFIG model. Higher levels of the DFIG model call for prediction of future development and awareness of the(More)
Some stability results related t.o those of V. The app1i;ation of Liapunov's second met,hod to interconnected systems, Frequency conditions for t.he absolute stability of control systems wit.h several nonlinear or linear 857-880, June 1967. nonstationary blocks, " Automat. R m o t ~ C a t r. (USSR), pp. Since 1969 he has been a member of the technical staE(More)
In this paper, the basic bidirectional associative memory (BAM) is extended by choosing weights in the correlation matrix, for a given set of training pairs, which result in a maximum noise tolerance set for BAM. We prove that for a given set of training pairs, the maximum noise tolerance set is the largest, in the sense that this optimized BAM will recall(More)
TCT TDT CPP ABSTRACT Mission planning is one of the core steps to effectively exploit the capabilities of multi-level cooperative control of multiple semi-autonomous entities, such as Unmanned Aerospace Vehicles (UAVs). In this paper, we describe a methodology of Team Dynamics and Tactics (TDT) for mission planning in a military operation. This method for(More)
The increasing use of unmanned assets and robots in modern military operations renews an interest in the study of general pursuit-evasion games involving multiple pursuers and multiple evaders. Due to the difficulty in formulation and rigorous treatment, the literature in this field is very limited. This paper presents a hierarchical approach to this kind(More)
Existing pursuer-evader (PE) game algorithms do not provide good real-time solutions for situations with the following complexities: (1) multi-pursuer multi-evader, (2) multiple evaders with superior control resources such as higher speeds, and (3) jamming confrontation between pursuers and evaders. This paper introduces a real-time decentralized approach,(More)