Model-based predictive control (MPC) has proved to be a fertile area of research. It has gained enormous success within industry, especially in the context of process control. Nonlinear model-based predictive control (NMPC) is of particular interest as this best represents the dynamics of most real plant. This book collects together the important results which have emerged in this field, illustrating examples by means of simulations on industrial models. In particular there are contributions on feedback linearisation, differential flatness, control Lyapunov functions, output feedback, and neural networks. The international contributors to the book are all respected leaders within the field, which makes for essential reading for advanced students, researchers and industrialists in the field of control of complex systems.

This authoritative and practical guide provides a thorough account of the law and practice of professional indemnity insurance. Topics examined include the basis of cover, entering the contract, block notification of claims, aggregation, and the exclusion of cover for fraud and dishonesty. The book also considers the standard terms and policy wordings involved in claims policies and the associated issues that can arise in practice. In addition to providing analysis of English case law, the book also includes authorities from other major Commonwealth jurisdictions to give the most complete interpretation of the law on this specialist area. All key recent cases relating to professional indemnity insurance are covered, for example Omega Proteins Ltd v. Aspen Insurance UK Ltd [2010] EWHC 2280 (Comm) and ACE European Group v. Standard Life Assurance Ltd [2012] EWCA Civ 1713. Additionally, the new edition considers statutory developments since the last edition, most notably the Third Parties (Rights Against Insurers) Act 2010 and the Insurance Act 2015, and topical issues such as aggregation of claims.