I put forward a new theoretical framework to analyze the relationship between soft budget constraint syndrome and the economic performances of firms. It differs from the existing theoretical framework, à la Dewatripont and Maskin (1995), in the soft budget constraint literature. In this paper, soft budget constraint syndrome arises when firms that are expected to lose money are financed. The pa...

This paper addresses the synthesis of a predictive controller for a nonlinear process based on a fuzzy model of the Takagi–Sugeno (T–S) type, resulting in a stable closed-loop control system. Conditions are given that guarantee closed-loop robust asymptotic stability for open-loop bounded-input–boundedoutput (BIBO) stable processes with an additive 1-norm bounded model uncertainty. The idea is ...

Copositive Lyapunov functions are used along with dissipativity theory for stability analysis of uncertain linear positive systems. At the difference of standard results, linear supply-rates are employed for robustness and performance analysis and lead to L1and L∞-gain characterizations. This naturally guides to the definition of Integral Linear Constraints (ILCs) for the characterization of in...

The real-life scheduling problems are often over-constrained, and there is often one intractable case where unexpected events are added and a sudden change is required. In this paper, we describe such problems as the Dynamic Valued Constraint Satisfaction Problem (DyVCSP). In DyVCSP, although the previous schedule would be modified when there is some change, the new schedule should be similar t...

In this paper, hybrid particle swarm optimization (PSO) is proposed for solving the challenging multi-contingency transient stability constrained optimal power flow (MC-TSCOPF) problem. The objective of this nonlinear optimization problem is to minimize the total fuel cost of the system and at the same time fulfil the transient stability requirements. The optimal power flow (OPF) with transient...

Model predictive control (MPC) is a modern control method based on the repeated online solution of a finite horizon optimal control problem. It is particularly attractive due to its ability to take hard constraints and performance criteria directly into account. The objective of this thesis is the development of novel MPC schemes for nonlinear continuoustime systems with and without time-delays...

We introduce a new global constraint which combines together the lexicographic ordering constraint with some sum constraints. Lexicographic ordering constraints are frequently used to break symmetry, whilst sum constraints occur in many problems involving capacity or partitioning. Our results show that this global constraint is useful when there is a very large space to explore, such as when th...

We show that in theories with radiatively induced electro-weak symmetry breaking the EDMs obey a simple approximate scaling under the transformation m0 → λm0, m 1 2 → λm 1 2 in the large μ region. In the scaling region the knowledge of a single point in the MSSM parameter space where the cancellation in the EDMs occur allows one to generate a trajectory in the m0 −m 1 2 plane where the cancella...

The behaviour of firms on an oligopolistic market is usually modeled via the CournotNash equilibrium concept ([13, 18]). In fact, it is the classical Nash equilibrium, where each player (firm) maximizes its profit subject to production constraints. Assuming that one from the firms has a temporal advantage over the others, this firm can increase its profit by replacing a Cournot-Nash strategy by...

Symmetry is an important problem in many combinatorial problems. One way of dealing with symmetry is to add constraints that eliminate symmetric solutions. We survey recent results in this area, focusing especially on two common and useful cases: symmetry breaking constraints for row and column symmetry, and symmetry breaking constraints for eliminating value symmetry.